The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data

Gespeichert in:

Autor*in:	Behrang, M.A. [verfasserIn] Assareh, E. Ghanbarzadeh, A. Noghrehabadi, A.R.

Format:	Artikel

Erschienen:	2010

Umfang:	13

Übergeordnetes Werk:	Enthalten in: Solar energy - Kidlington : Elsevier, 1957, 84(2010), 8 vom: Aug., Seite 1468-1481
Übergeordnetes Werk:	volume:84 ; year:2010 ; number:8 ; month:08 ; pages:1468-1481 ; extent:13

Katalog-ID:	OLC1845525396

Internformat


LEADER	01000caa a22002652 4500
001	OLC1845525396
003	DE-627
005	20230711193713.0
007	tu
008	100713s2010 xx \|\|\|\|\| 00\| \|\|und c
028	5	2	\|a sw100712_1
035			\|a (DE-627)OLC1845525396
035			\|a (DE-599)GBVOLC1845525396
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
082	0	4	\|a 530
100	1		\|a Behrang, M.A. \|e verfasserin \|4 aut
245	1	4	\|a The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
264		1	\|c 2010
300			\|a 13
336			\|a Text \|b txt \|2 rdacontent
337			\|a ohne Hilfsmittel zu benutzen \|b n \|2 rdamedia
338			\|a Band \|b nc \|2 rdacarrier
700	1		\|a Assareh, E. \|4 oth
700	1		\|a Ghanbarzadeh, A. \|4 oth
700	1		\|a Noghrehabadi, A.R. \|4 oth
773	0	8	\|i Enthalten in \|t Solar energy \|d Kidlington : Elsevier, 1957 \|g 84(2010), 8 vom: Aug., Seite 1468-1481 \|w (DE-627)129596795 \|w (DE-600)240833-8 \|w (DE-576)015089959 \|x 0038-092X \|7 nnns
773	1	8	\|g volume:84 \|g year:2010 \|g number:8 \|g month:08 \|g pages:1468-1481 \|g extent:13
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_OLC
912			\|a SSG-OLC-TEC
912			\|a SSG-OLC-PHY
912			\|a GBV_ILN_20
912			\|a GBV_ILN_70
912			\|a GBV_ILN_105
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2016
912			\|a GBV_ILN_4046
951			\|a AR
952			\|d 84 \|j 2010 \|e 8 \|c 8 \|h 1468-1481 \|g 13

Indexfelder

author_variant	m b mb
matchkey_str	article:0038092X:2010----::hptnilfifrnatfcanuantokntcnqeidiylbloardain
hierarchy_sort_str	2010
publishDate	2010
allfields	sw100712_1 (DE-627)OLC1845525396 (DE-599)GBVOLC1845525396 DE-627 ger DE-627 rakwb 530 Behrang, M.A. verfasserin aut The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data 2010 13 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Assareh, E. oth Ghanbarzadeh, A. oth Noghrehabadi, A.R. oth Enthalten in Solar energy Kidlington : Elsevier, 1957 84(2010), 8 vom: Aug., Seite 1468-1481 (DE-627)129596795 (DE-600)240833-8 (DE-576)015089959 0038-092X nnns volume:84 year:2010 number:8 month:08 pages:1468-1481 extent:13 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_20 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2003 GBV_ILN_2016 GBV_ILN_4046 AR 84 2010 8 8 1468-1481 13
spelling	sw100712_1 (DE-627)OLC1845525396 (DE-599)GBVOLC1845525396 DE-627 ger DE-627 rakwb 530 Behrang, M.A. verfasserin aut The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data 2010 13 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Assareh, E. oth Ghanbarzadeh, A. oth Noghrehabadi, A.R. oth Enthalten in Solar energy Kidlington : Elsevier, 1957 84(2010), 8 vom: Aug., Seite 1468-1481 (DE-627)129596795 (DE-600)240833-8 (DE-576)015089959 0038-092X nnns volume:84 year:2010 number:8 month:08 pages:1468-1481 extent:13 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_20 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2003 GBV_ILN_2016 GBV_ILN_4046 AR 84 2010 8 8 1468-1481 13
allfields_unstemmed	sw100712_1 (DE-627)OLC1845525396 (DE-599)GBVOLC1845525396 DE-627 ger DE-627 rakwb 530 Behrang, M.A. verfasserin aut The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data 2010 13 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Assareh, E. oth Ghanbarzadeh, A. oth Noghrehabadi, A.R. oth Enthalten in Solar energy Kidlington : Elsevier, 1957 84(2010), 8 vom: Aug., Seite 1468-1481 (DE-627)129596795 (DE-600)240833-8 (DE-576)015089959 0038-092X nnns volume:84 year:2010 number:8 month:08 pages:1468-1481 extent:13 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_20 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2003 GBV_ILN_2016 GBV_ILN_4046 AR 84 2010 8 8 1468-1481 13
allfieldsGer	sw100712_1 (DE-627)OLC1845525396 (DE-599)GBVOLC1845525396 DE-627 ger DE-627 rakwb 530 Behrang, M.A. verfasserin aut The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data 2010 13 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Assareh, E. oth Ghanbarzadeh, A. oth Noghrehabadi, A.R. oth Enthalten in Solar energy Kidlington : Elsevier, 1957 84(2010), 8 vom: Aug., Seite 1468-1481 (DE-627)129596795 (DE-600)240833-8 (DE-576)015089959 0038-092X nnns volume:84 year:2010 number:8 month:08 pages:1468-1481 extent:13 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_20 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2003 GBV_ILN_2016 GBV_ILN_4046 AR 84 2010 8 8 1468-1481 13
allfieldsSound	sw100712_1 (DE-627)OLC1845525396 (DE-599)GBVOLC1845525396 DE-627 ger DE-627 rakwb 530 Behrang, M.A. verfasserin aut The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data 2010 13 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Assareh, E. oth Ghanbarzadeh, A. oth Noghrehabadi, A.R. oth Enthalten in Solar energy Kidlington : Elsevier, 1957 84(2010), 8 vom: Aug., Seite 1468-1481 (DE-627)129596795 (DE-600)240833-8 (DE-576)015089959 0038-092X nnns volume:84 year:2010 number:8 month:08 pages:1468-1481 extent:13 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_20 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2003 GBV_ILN_2016 GBV_ILN_4046 AR 84 2010 8 8 1468-1481 13
source	Enthalten in Solar energy 84(2010), 8 vom: Aug., Seite 1468-1481 volume:84 year:2010 number:8 month:08 pages:1468-1481 extent:13
sourceStr	Enthalten in Solar energy 84(2010), 8 vom: Aug., Seite 1468-1481 volume:84 year:2010 number:8 month:08 pages:1468-1481 extent:13
format_phy_str_mv	Article
institution	findex.gbv.de
dewey-raw	530
isfreeaccess_bool	false
container_title	Solar energy
authorswithroles_txt_mv	Behrang, M.A. @@aut@@ Assareh, E. @@oth@@ Ghanbarzadeh, A. @@oth@@ Noghrehabadi, A.R. @@oth@@
publishDateDaySort_date	2010-08-01T00:00:00Z
hierarchy_top_id	129596795
dewey-sort	3530
id	OLC1845525396
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC1845525396</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230711193713.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">100713s2010 xx \|\|\|\|\| 00\| \|\|und c</controlfield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">sw100712_1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1845525396</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1845525396</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Behrang, M.A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">13</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Assareh, E.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ghanbarzadeh, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Noghrehabadi, A.R.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Solar energy</subfield><subfield code="d">Kidlington : Elsevier, 1957</subfield><subfield code="g">84(2010), 8 vom: Aug., Seite 1468-1481</subfield><subfield code="w">(DE-627)129596795</subfield><subfield code="w">(DE-600)240833-8</subfield><subfield code="w">(DE-576)015089959</subfield><subfield code="x">0038-092X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:84</subfield><subfield code="g">year:2010</subfield><subfield code="g">number:8</subfield><subfield code="g">month:08</subfield><subfield code="g">pages:1468-1481</subfield><subfield code="g">extent:13</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2016</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">84</subfield><subfield code="j">2010</subfield><subfield code="e">8</subfield><subfield code="c">8</subfield><subfield code="h">1468-1481</subfield><subfield code="g">13</subfield></datafield></record></collection>
author	Behrang, M.A.
spellingShingle	Behrang, M.A. ddc 530 The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
authorStr	Behrang, M.A.
ppnlink_with_tag_str_mv	@@773@@(DE-627)129596795
format	Article
dewey-ones	530 - Physics
delete_txt_mv	keep
author_role	aut
collection	OLC
remote_str	false
illustrated	Not Illustrated
issn	0038-092X
topic_title	530 The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
topic	ddc 530
topic_unstemmed	ddc 530
topic_browse	ddc 530
format_facet	Aufsätze Gedruckte Aufsätze
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	nc
author2_variant	e a ea a g ag a n an
hierarchy_parent_title	Solar energy
hierarchy_parent_id	129596795
dewey-tens	530 - Physics
hierarchy_top_title	Solar energy
isfreeaccess_txt	false
familylinks_str_mv	(DE-627)129596795 (DE-600)240833-8 (DE-576)015089959
title	The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
ctrlnum	(DE-627)OLC1845525396 (DE-599)GBVOLC1845525396
title_full	The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
author_sort	Behrang, M.A.
journal	Solar energy
journalStr	Solar energy
isOA_bool	false
dewey-hundreds	500 - Science
recordtype	marc
publishDateSort	2010
contenttype_str_mv	txt
container_start_page	1468
author_browse	Behrang, M.A.
container_volume	84
physical	13
class	530
format_se	Aufsätze
author-letter	Behrang, M.A.
dewey-full	530
title_sort	potential of different artificial neural network (ann) techniques in daily global solar radiation modeling based on meteorological data
title_auth	The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_20 GBV_ILN_70 GBV_ILN_105 GBV_ILN_2003 GBV_ILN_2016 GBV_ILN_4046
container_issue	8
title_short	The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
remote_bool	false
author2	Assareh, E. Ghanbarzadeh, A. Noghrehabadi, A.R.
author2Str	Assareh, E. Ghanbarzadeh, A. Noghrehabadi, A.R.
ppnlink	129596795
mediatype_str_mv	n
isOA_txt	false
hochschulschrift_bool	false
author2_role	oth oth oth
up_date	2024-07-03T20:55:18.388Z
_version_	1803592787177766912
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC1845525396</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230711193713.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">100713s2010 xx \|\|\|\|\| 00\| \|\|und c</controlfield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">sw100712_1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1845525396</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1845525396</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Behrang, M.A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">13</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Assareh, E.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ghanbarzadeh, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Noghrehabadi, A.R.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Solar energy</subfield><subfield code="d">Kidlington : Elsevier, 1957</subfield><subfield code="g">84(2010), 8 vom: Aug., Seite 1468-1481</subfield><subfield code="w">(DE-627)129596795</subfield><subfield code="w">(DE-600)240833-8</subfield><subfield code="w">(DE-576)015089959</subfield><subfield code="x">0038-092X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:84</subfield><subfield code="g">year:2010</subfield><subfield code="g">number:8</subfield><subfield code="g">month:08</subfield><subfield code="g">pages:1468-1481</subfield><subfield code="g">extent:13</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2016</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">84</subfield><subfield code="j">2010</subfield><subfield code="e">8</subfield><subfield code="c">8</subfield><subfield code="h">1468-1481</subfield><subfield code="g">13</subfield></datafield></record></collection>
score	7.402337

Nicht das Richtige dabei?

Schreiben Sie uns!

The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?