Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik

This thesis deals with the prediction of time-series describing various natural systems. The underlying dynamical systems were either unknown or too complex to model directly. Instead of this the data stocks are investigated with statistical methods. Neural networks of type "Radial-Basis-Functi...
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Autor*in:	Weichert, Andreas
Hochschulschrift:	Oldenburg, Univ., Diss., 1998

Format:	E-Book
Sprache:	Deutsch

Erschienen:	1998
Ausgabe:	[Electronic ed.]

Schlagwörter:	Dynamisches System / Zeitreihenanalyse / Neuronales Netz / Radiale Basisfunktion / Programm Luftverschmutzung / Staub / Datenanalyse Hannover-Kirchrode / Bohrkern / Datenanalyse Peru / Auftriebsgebiet / Südamerikanische Sardelle / Datenanalyse Potsdam / Niederschlag / Lufttemperatur / Wasserdampf / Datenanalyse
Formangabe:	Hochschulschrift

Anmerkung:	Dateiformat: zip, Dateien im PDF-Format
Umfang:	129 p. = 3,3 MB, text and images ; graphic representations

Links:	Link aufrufen Volltext Volltext

Katalog-ID:	250452758

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245	1	0	\|a Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik \|c Andreas Weichert
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matchkey_str	weichertandreas:1998----:etehnnlsntlcesseeinuoaenteudehdnesaitshnhs
oclc_num	845145489
hierarchy_sort_str	1998
bklnumber	33.06
publishDate	1998
allfields	01,H02,0771 dnb 958432643 DE-101 (DE-627)250452758 (DE-599)GBV250452758 (OCoLC)845145489 DE-627 ger DE-627 rakwb ger XA-DE 27 15 31 29 28 sdnb 33.06 bkl Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik Andreas Weichert [Electronic ed.] 1998 129 p. = 3,3 MB, text and images graphic representations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dateiformat: zip, Dateien im PDF-Format Oldenburg, Univ., Diss., 1998 This thesis deals with the prediction of time-series describing various natural systems. The underlying dynamical systems were either unknown or too complex to model directly. Instead of this the data stocks are investigated with statistical methods. Neural networks of type "Radial-Basis-Function-System" were used to approximate the dynamics and to predict the future. The investigated data sets are: a) fluctuation in the chemical analysis data of a rock drilled core, which are correlated to the Milankovitch-cycles, b) data of the marine ecosystem at Peru's coast and c) local weather data of a German city, which have been predicted using only large scale global weather data over Europe. In order to perform these investigations the computer program "Data-Stream-Network" was developed, which is also discussed. All important time-series analysis methods are integrated within, allowing to connect them into large modules easily generated with the help of a graphical editor Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4013396-5 (DE-627)106343920 (DE-576)208903402 Dynamisches System gnd s (DE-588)4067486-1 (DE-627)106108840 (DE-576)209169990 Zeitreihenanalyse gnd s (DE-588)4226127-2 (DE-627)104455810 (DE-576)210311614 Neuronales Netz gnd s (DE-588)4380647-8 (DE-627)185985718 (DE-576)211831182 Radiale Basisfunktion gnd s (DE-588)4047394-6 (DE-627)106194704 (DE-576)209073454 Programm gnd DE-101 s (DE-588)4074381-0 (DE-627)104400544 (DE-576)209193581 Luftverschmutzung gnd s (DE-588)4057011-3 (DE-627)104649550 (DE-576)209119861 Staub gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4121988-0 (DE-627)105765651 (DE-576)209547774 Hannover-Kirchrode gnd s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4045312-1 (DE-627)104189169 (DE-576)209064633 Peru gnd s (DE-588)4271580-5 (DE-627)104480955 (DE-576)210682892 Auftriebsgebiet gnd s (DE-588)4415580-3 (DE-627)212681427 (DE-576)212210521 Südamerikanische Sardelle gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4046948-7 (DE-627)106196332 (DE-576)209071575 Potsdam gnd s (DE-588)4132260-5 (DE-627)105689068 (DE-576)209634057 Niederschlag gnd s (DE-588)4168286-5 (DE-627)105418706 (DE-576)209914416 Lufttemperatur gnd s (DE-588)4132825-5 (DE-627)105684759 (DE-576)209638818 Wasserdampf gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 Weichert, Andreas oth Oldenburg uvp http://docserver.bis.uni-oldenburg.de/publikationen/dissertation/weizei98/weizei98.html Verlag Volltext http://d-nb.info/958432643 Verlag Volltext GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-MAT GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_370 ISIL_DE-1373 33.06 Mathematische Methoden der Physik (DE-627)106407937 BO 20 01 0084 653110812 x 22-06-04 21 01 0046 659537397 z 12-08-04 22 01 0018 554825627 SUBolrd xu 07-05-02 30 01 0104 719566827 z 14-05-05 40 01 0007 578429861 OLR-D xsn 16-11-02 60 01 0705 57842987X z 16-11-02 110 01 3110 719983827 xz 14-05-05 120 01 0715 306780100 c 23-10-98 120 04 0715 1753683726 00 --%%-- --%%-- g --%%-- alma z 22-02-18 370 01 4370 822417030 x 08-06-07 20 01 0084 http://d-nb.info/958432643 21 01 0046 http://d-nb.info/958432643/34 22 01 0018 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 30 01 0104 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 40 01 0007 http://d-nb.info/958432643 60 01 0705 http://d-nb.info/958432643 110 01 3110 http://d-nb.info/958432643 120 01 0715 http://docserver.bis.uni-oldenburg.de/publikationen/dissertation/weizei98/weizei98.html 120 04 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991000006429703501 370 01 4370 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 60 01 0705 10 ho 120 01 0715 13586239 21 01 0046 OLRD 30 01 0104 OLRD 60 01 0705 OLRD 110 01 3110 OLRD 120 01 0715 YH 0144 370 01 4370 OLRD 22 01 0018 SUBolrd 40 01 0007 OLR-D 120 04 0715 alma
spelling	01,H02,0771 dnb 958432643 DE-101 (DE-627)250452758 (DE-599)GBV250452758 (OCoLC)845145489 DE-627 ger DE-627 rakwb ger XA-DE 27 15 31 29 28 sdnb 33.06 bkl Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik Andreas Weichert [Electronic ed.] 1998 129 p. = 3,3 MB, text and images graphic representations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dateiformat: zip, Dateien im PDF-Format Oldenburg, Univ., Diss., 1998 This thesis deals with the prediction of time-series describing various natural systems. The underlying dynamical systems were either unknown or too complex to model directly. Instead of this the data stocks are investigated with statistical methods. Neural networks of type "Radial-Basis-Function-System" were used to approximate the dynamics and to predict the future. The investigated data sets are: a) fluctuation in the chemical analysis data of a rock drilled core, which are correlated to the Milankovitch-cycles, b) data of the marine ecosystem at Peru's coast and c) local weather data of a German city, which have been predicted using only large scale global weather data over Europe. In order to perform these investigations the computer program "Data-Stream-Network" was developed, which is also discussed. All important time-series analysis methods are integrated within, allowing to connect them into large modules easily generated with the help of a graphical editor Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4013396-5 (DE-627)106343920 (DE-576)208903402 Dynamisches System gnd s (DE-588)4067486-1 (DE-627)106108840 (DE-576)209169990 Zeitreihenanalyse gnd s (DE-588)4226127-2 (DE-627)104455810 (DE-576)210311614 Neuronales Netz gnd s (DE-588)4380647-8 (DE-627)185985718 (DE-576)211831182 Radiale Basisfunktion gnd s (DE-588)4047394-6 (DE-627)106194704 (DE-576)209073454 Programm gnd DE-101 s (DE-588)4074381-0 (DE-627)104400544 (DE-576)209193581 Luftverschmutzung gnd s (DE-588)4057011-3 (DE-627)104649550 (DE-576)209119861 Staub gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4121988-0 (DE-627)105765651 (DE-576)209547774 Hannover-Kirchrode gnd s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4045312-1 (DE-627)104189169 (DE-576)209064633 Peru gnd s (DE-588)4271580-5 (DE-627)104480955 (DE-576)210682892 Auftriebsgebiet gnd s (DE-588)4415580-3 (DE-627)212681427 (DE-576)212210521 Südamerikanische Sardelle gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4046948-7 (DE-627)106196332 (DE-576)209071575 Potsdam gnd s (DE-588)4132260-5 (DE-627)105689068 (DE-576)209634057 Niederschlag gnd s (DE-588)4168286-5 (DE-627)105418706 (DE-576)209914416 Lufttemperatur gnd s (DE-588)4132825-5 (DE-627)105684759 (DE-576)209638818 Wasserdampf gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 Weichert, Andreas oth Oldenburg uvp http://docserver.bis.uni-oldenburg.de/publikationen/dissertation/weizei98/weizei98.html Verlag Volltext http://d-nb.info/958432643 Verlag Volltext GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-MAT GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_370 ISIL_DE-1373 33.06 Mathematische Methoden der Physik (DE-627)106407937 BO 20 01 0084 653110812 x 22-06-04 21 01 0046 659537397 z 12-08-04 22 01 0018 554825627 SUBolrd xu 07-05-02 30 01 0104 719566827 z 14-05-05 40 01 0007 578429861 OLR-D xsn 16-11-02 60 01 0705 57842987X z 16-11-02 110 01 3110 719983827 xz 14-05-05 120 01 0715 306780100 c 23-10-98 120 04 0715 1753683726 00 --%%-- --%%-- g --%%-- alma z 22-02-18 370 01 4370 822417030 x 08-06-07 20 01 0084 http://d-nb.info/958432643 21 01 0046 http://d-nb.info/958432643/34 22 01 0018 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 30 01 0104 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 40 01 0007 http://d-nb.info/958432643 60 01 0705 http://d-nb.info/958432643 110 01 3110 http://d-nb.info/958432643 120 01 0715 http://docserver.bis.uni-oldenburg.de/publikationen/dissertation/weizei98/weizei98.html 120 04 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991000006429703501 370 01 4370 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 60 01 0705 10 ho 120 01 0715 13586239 21 01 0046 OLRD 30 01 0104 OLRD 60 01 0705 OLRD 110 01 3110 OLRD 120 01 0715 YH 0144 370 01 4370 OLRD 22 01 0018 SUBolrd 40 01 0007 OLR-D 120 04 0715 alma
allfields_unstemmed	01,H02,0771 dnb 958432643 DE-101 (DE-627)250452758 (DE-599)GBV250452758 (OCoLC)845145489 DE-627 ger DE-627 rakwb ger XA-DE 27 15 31 29 28 sdnb 33.06 bkl Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik Andreas Weichert [Electronic ed.] 1998 129 p. = 3,3 MB, text and images graphic representations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dateiformat: zip, Dateien im PDF-Format Oldenburg, Univ., Diss., 1998 This thesis deals with the prediction of time-series describing various natural systems. The underlying dynamical systems were either unknown or too complex to model directly. Instead of this the data stocks are investigated with statistical methods. Neural networks of type "Radial-Basis-Function-System" were used to approximate the dynamics and to predict the future. The investigated data sets are: a) fluctuation in the chemical analysis data of a rock drilled core, which are correlated to the Milankovitch-cycles, b) data of the marine ecosystem at Peru's coast and c) local weather data of a German city, which have been predicted using only large scale global weather data over Europe. In order to perform these investigations the computer program "Data-Stream-Network" was developed, which is also discussed. All important time-series analysis methods are integrated within, allowing to connect them into large modules easily generated with the help of a graphical editor Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4013396-5 (DE-627)106343920 (DE-576)208903402 Dynamisches System gnd s (DE-588)4067486-1 (DE-627)106108840 (DE-576)209169990 Zeitreihenanalyse gnd s (DE-588)4226127-2 (DE-627)104455810 (DE-576)210311614 Neuronales Netz gnd s (DE-588)4380647-8 (DE-627)185985718 (DE-576)211831182 Radiale Basisfunktion gnd s (DE-588)4047394-6 (DE-627)106194704 (DE-576)209073454 Programm gnd DE-101 s (DE-588)4074381-0 (DE-627)104400544 (DE-576)209193581 Luftverschmutzung gnd s (DE-588)4057011-3 (DE-627)104649550 (DE-576)209119861 Staub gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4121988-0 (DE-627)105765651 (DE-576)209547774 Hannover-Kirchrode gnd s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4045312-1 (DE-627)104189169 (DE-576)209064633 Peru gnd s (DE-588)4271580-5 (DE-627)104480955 (DE-576)210682892 Auftriebsgebiet gnd s (DE-588)4415580-3 (DE-627)212681427 (DE-576)212210521 Südamerikanische Sardelle gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4046948-7 (DE-627)106196332 (DE-576)209071575 Potsdam gnd s (DE-588)4132260-5 (DE-627)105689068 (DE-576)209634057 Niederschlag gnd s (DE-588)4168286-5 (DE-627)105418706 (DE-576)209914416 Lufttemperatur gnd s (DE-588)4132825-5 (DE-627)105684759 (DE-576)209638818 Wasserdampf gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 Weichert, Andreas oth Oldenburg uvp http://docserver.bis.uni-oldenburg.de/publikationen/dissertation/weizei98/weizei98.html Verlag Volltext http://d-nb.info/958432643 Verlag Volltext GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-MAT GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_370 ISIL_DE-1373 33.06 Mathematische Methoden der Physik (DE-627)106407937 BO 20 01 0084 653110812 x 22-06-04 21 01 0046 659537397 z 12-08-04 22 01 0018 554825627 SUBolrd xu 07-05-02 30 01 0104 719566827 z 14-05-05 40 01 0007 578429861 OLR-D xsn 16-11-02 60 01 0705 57842987X z 16-11-02 110 01 3110 719983827 xz 14-05-05 120 01 0715 306780100 c 23-10-98 120 04 0715 1753683726 00 --%%-- --%%-- g --%%-- alma z 22-02-18 370 01 4370 822417030 x 08-06-07 20 01 0084 http://d-nb.info/958432643 21 01 0046 http://d-nb.info/958432643/34 22 01 0018 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 30 01 0104 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 40 01 0007 http://d-nb.info/958432643 60 01 0705 http://d-nb.info/958432643 110 01 3110 http://d-nb.info/958432643 120 01 0715 http://docserver.bis.uni-oldenburg.de/publikationen/dissertation/weizei98/weizei98.html 120 04 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991000006429703501 370 01 4370 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 60 01 0705 10 ho 120 01 0715 13586239 21 01 0046 OLRD 30 01 0104 OLRD 60 01 0705 OLRD 110 01 3110 OLRD 120 01 0715 YH 0144 370 01 4370 OLRD 22 01 0018 SUBolrd 40 01 0007 OLR-D 120 04 0715 alma
allfieldsGer	01,H02,0771 dnb 958432643 DE-101 (DE-627)250452758 (DE-599)GBV250452758 (OCoLC)845145489 DE-627 ger DE-627 rakwb ger XA-DE 27 15 31 29 28 sdnb 33.06 bkl Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik Andreas Weichert [Electronic ed.] 1998 129 p. = 3,3 MB, text and images graphic representations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dateiformat: zip, Dateien im PDF-Format Oldenburg, Univ., Diss., 1998 This thesis deals with the prediction of time-series describing various natural systems. The underlying dynamical systems were either unknown or too complex to model directly. Instead of this the data stocks are investigated with statistical methods. Neural networks of type "Radial-Basis-Function-System" were used to approximate the dynamics and to predict the future. The investigated data sets are: a) fluctuation in the chemical analysis data of a rock drilled core, which are correlated to the Milankovitch-cycles, b) data of the marine ecosystem at Peru's coast and c) local weather data of a German city, which have been predicted using only large scale global weather data over Europe. In order to perform these investigations the computer program "Data-Stream-Network" was developed, which is also discussed. All important time-series analysis methods are integrated within, allowing to connect them into large modules easily generated with the help of a graphical editor Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4013396-5 (DE-627)106343920 (DE-576)208903402 Dynamisches System gnd s (DE-588)4067486-1 (DE-627)106108840 (DE-576)209169990 Zeitreihenanalyse gnd s (DE-588)4226127-2 (DE-627)104455810 (DE-576)210311614 Neuronales Netz gnd s (DE-588)4380647-8 (DE-627)185985718 (DE-576)211831182 Radiale Basisfunktion gnd s (DE-588)4047394-6 (DE-627)106194704 (DE-576)209073454 Programm gnd DE-101 s (DE-588)4074381-0 (DE-627)104400544 (DE-576)209193581 Luftverschmutzung gnd s (DE-588)4057011-3 (DE-627)104649550 (DE-576)209119861 Staub gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4121988-0 (DE-627)105765651 (DE-576)209547774 Hannover-Kirchrode gnd s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4045312-1 (DE-627)104189169 (DE-576)209064633 Peru gnd s (DE-588)4271580-5 (DE-627)104480955 (DE-576)210682892 Auftriebsgebiet gnd s (DE-588)4415580-3 (DE-627)212681427 (DE-576)212210521 Südamerikanische Sardelle gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 g (DE-588)4046948-7 (DE-627)106196332 (DE-576)209071575 Potsdam gnd s (DE-588)4132260-5 (DE-627)105689068 (DE-576)209634057 Niederschlag gnd s (DE-588)4168286-5 (DE-627)105418706 (DE-576)209914416 Lufttemperatur gnd s (DE-588)4132825-5 (DE-627)105684759 (DE-576)209638818 Wasserdampf gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd DE-101 Weichert, Andreas oth Oldenburg uvp http://docserver.bis.uni-oldenburg.de/publikationen/dissertation/weizei98/weizei98.html Verlag Volltext http://d-nb.info/958432643 Verlag Volltext GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-MAT GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_370 ISIL_DE-1373 33.06 Mathematische Methoden der Physik (DE-627)106407937 BO 20 01 0084 653110812 x 22-06-04 21 01 0046 659537397 z 12-08-04 22 01 0018 554825627 SUBolrd xu 07-05-02 30 01 0104 719566827 z 14-05-05 40 01 0007 578429861 OLR-D xsn 16-11-02 60 01 0705 57842987X z 16-11-02 110 01 3110 719983827 xz 14-05-05 120 01 0715 306780100 c 23-10-98 120 04 0715 1753683726 00 --%%-- --%%-- g --%%-- alma z 22-02-18 370 01 4370 822417030 x 08-06-07 20 01 0084 http://d-nb.info/958432643 21 01 0046 http://d-nb.info/958432643/34 22 01 0018 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 30 01 0104 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 40 01 0007 http://d-nb.info/958432643 60 01 0705 http://d-nb.info/958432643 110 01 3110 http://d-nb.info/958432643 120 01 0715 http://docserver.bis.uni-oldenburg.de/publikationen/dissertation/weizei98/weizei98.html 120 04 0715 http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991000006429703501 370 01 4370 http://deposit.ddb.de/cgi-bin/dokserv?idn=958432643 60 01 0705 10 ho 120 01 0715 13586239 21 01 0046 OLRD 30 01 0104 OLRD 60 01 0705 OLRD 110 01 3110 OLRD 120 01 0715 YH 0144 370 01 4370 OLRD 22 01 0018 SUBolrd 40 01 0007 OLR-D 120 04 0715 alma
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topic_facet	Dynamisches System Zeitreihenanalyse Neuronales Netz Radiale Basisfunktion Programm Luftverschmutzung Staub Datenanalyse Hannover-Kirchrode Bohrkern Peru Auftriebsgebiet Südamerikanische Sardelle Potsdam Niederschlag Lufttemperatur Wasserdampf
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topic_title	27 15 31 29 28 sdnb 33.06 bkl Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik Andreas Weichert s (DE-588)4013396-5 (DE-627)106343920 (DE-576)208903402 Dynamisches System gnd s (DE-588)4067486-1 (DE-627)106108840 (DE-576)209169990 Zeitreihenanalyse gnd s (DE-588)4226127-2 (DE-627)104455810 (DE-576)210311614 Neuronales Netz gnd s (DE-588)4380647-8 (DE-627)185985718 (DE-576)211831182 Radiale Basisfunktion gnd s (DE-588)4047394-6 (DE-627)106194704 (DE-576)209073454 Programm gnd DE-101 s (DE-588)4074381-0 (DE-627)104400544 (DE-576)209193581 Luftverschmutzung gnd s (DE-588)4057011-3 (DE-627)104649550 (DE-576)209119861 Staub gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd g (DE-588)4121988-0 (DE-627)105765651 (DE-576)209547774 Hannover-Kirchrode gnd s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd g (DE-588)4045312-1 (DE-627)104189169 (DE-576)209064633 Peru gnd s (DE-588)4271580-5 (DE-627)104480955 (DE-576)210682892 Auftriebsgebiet gnd s (DE-588)4415580-3 (DE-627)212681427 (DE-576)212210521 Südamerikanische Sardelle gnd g (DE-588)4046948-7 (DE-627)106196332 (DE-576)209071575 Potsdam gnd s (DE-588)4132260-5 (DE-627)105689068 (DE-576)209634057 Niederschlag gnd s (DE-588)4168286-5 (DE-627)105418706 (DE-576)209914416 Lufttemperatur gnd s (DE-588)4132825-5 (DE-627)105684759 (DE-576)209638818 Wasserdampf gnd
topic	sdnb 27 bkl 33.06 gnd Dynamisches System gnd Zeitreihenanalyse gnd Neuronales Netz gnd Radiale Basisfunktion gnd Programm gnd Luftverschmutzung gnd Staub gnd Datenanalyse gnd Hannover-Kirchrode gnd Bohrkern gnd Peru gnd Auftriebsgebiet gnd Südamerikanische Sardelle gnd Potsdam gnd Niederschlag gnd Lufttemperatur gnd Wasserdampf
spellingShingle	sdnb 27 bkl 33.06 gnd Dynamisches System gnd Zeitreihenanalyse gnd Neuronales Netz gnd Radiale Basisfunktion gnd Programm gnd Luftverschmutzung gnd Staub gnd Datenanalyse gnd Hannover-Kirchrode gnd Bohrkern gnd Peru gnd Auftriebsgebiet gnd Südamerikanische Sardelle gnd Potsdam gnd Niederschlag gnd Lufttemperatur gnd Wasserdampf Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik
topic_unstemmed	sdnb 27 bkl 33.06 gnd Dynamisches System gnd Zeitreihenanalyse gnd Neuronales Netz gnd Radiale Basisfunktion gnd Programm gnd Luftverschmutzung gnd Staub gnd Datenanalyse gnd Hannover-Kirchrode gnd Bohrkern gnd Peru gnd Auftriebsgebiet gnd Südamerikanische Sardelle gnd Potsdam gnd Niederschlag gnd Lufttemperatur gnd Wasserdampf
topic_browse	sdnb 27 bkl 33.06 gnd Dynamisches System gnd Zeitreihenanalyse gnd Neuronales Netz gnd Radiale Basisfunktion gnd Programm gnd Luftverschmutzung gnd Staub gnd Datenanalyse gnd Hannover-Kirchrode gnd Bohrkern gnd Peru gnd Auftriebsgebiet gnd Südamerikanische Sardelle gnd Potsdam gnd Niederschlag gnd Lufttemperatur gnd Wasserdampf
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title	Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik
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title_full	Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik Andreas Weichert
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title_sort	zeitreihenanalyse natürlicher systeme mit neuronalen netzen und methoden der statistischen physik sowie der nichtlinearen dynamik
title_auth	Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik
abstract	This thesis deals with the prediction of time-series describing various natural systems. The underlying dynamical systems were either unknown or too complex to model directly. Instead of this the data stocks are investigated with statistical methods. Neural networks of type "Radial-Basis-Function-System" were used to approximate the dynamics and to predict the future. The investigated data sets are: a) fluctuation in the chemical analysis data of a rock drilled core, which are correlated to the Milankovitch-cycles, b) data of the marine ecosystem at Peru's coast and c) local weather data of a German city, which have been predicted using only large scale global weather data over Europe. In order to perform these investigations the computer program "Data-Stream-Network" was developed, which is also discussed. All important time-series analysis methods are integrated within, allowing to connect them into large modules easily generated with the help of a graphical editor Dateiformat: zip, Dateien im PDF-Format
abstractGer	This thesis deals with the prediction of time-series describing various natural systems. The underlying dynamical systems were either unknown or too complex to model directly. Instead of this the data stocks are investigated with statistical methods. Neural networks of type "Radial-Basis-Function-System" were used to approximate the dynamics and to predict the future. The investigated data sets are: a) fluctuation in the chemical analysis data of a rock drilled core, which are correlated to the Milankovitch-cycles, b) data of the marine ecosystem at Peru's coast and c) local weather data of a German city, which have been predicted using only large scale global weather data over Europe. In order to perform these investigations the computer program "Data-Stream-Network" was developed, which is also discussed. All important time-series analysis methods are integrated within, allowing to connect them into large modules easily generated with the help of a graphical editor Dateiformat: zip, Dateien im PDF-Format
abstract_unstemmed	This thesis deals with the prediction of time-series describing various natural systems. The underlying dynamical systems were either unknown or too complex to model directly. Instead of this the data stocks are investigated with statistical methods. Neural networks of type "Radial-Basis-Function-System" were used to approximate the dynamics and to predict the future. The investigated data sets are: a) fluctuation in the chemical analysis data of a rock drilled core, which are correlated to the Milankovitch-cycles, b) data of the marine ecosystem at Peru's coast and c) local weather data of a German city, which have been predicted using only large scale global weather data over Europe. In order to perform these investigations the computer program "Data-Stream-Network" was developed, which is also discussed. All important time-series analysis methods are integrated within, allowing to connect them into large modules easily generated with the help of a graphical editor Dateiformat: zip, Dateien im PDF-Format
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title_short	Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik
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Zeitreihenanalyse natürlicher Systeme mit neuronalen Netzen und Methoden der statistischen Physik sowie der nichtlinearen Dynamik

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