Development of associative memories with transformed data

This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the tr...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Li, Lina [verfasserIn] Pedrycz, Witold [verfasserIn] Li, Zhiwu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Associative memory Nonlinear transformation Fuzzy associative memory Correlation associative memory Morphological associative memory Particle swarm optimization (PSO)

Übergeordnetes Werk:	Enthalten in: Applied soft computing - Amsterdam [u.a.] : Elsevier Science, 2001, 61, Seite 1141-1152
Übergeordnetes Werk:	volume:61 ; pages:1141-1152

DOI / URN:	10.1016/j.asoc.2017.05.035

Katalog-ID:	ELV000847186

Internformat


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245	1	0	\|a Development of associative memories with transformed data
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520			\|a This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall.
650		4	\|a Associative memory
650		4	\|a Nonlinear transformation
650		4	\|a Fuzzy associative memory
650		4	\|a Correlation associative memory
650		4	\|a Morphological associative memory
650		4	\|a Particle swarm optimization (PSO)
700	1		\|a Pedrycz, Witold \|e verfasserin \|4 aut
700	1		\|a Li, Zhiwu \|e verfasserin \|0 (orcid)0000-0003-1547-5503 \|4 aut
773	0	8	\|i Enthalten in \|t Applied soft computing \|d Amsterdam [u.a.] : Elsevier Science, 2001 \|g 61, Seite 1141-1152 \|h Online-Ressource \|w (DE-627)334375754 \|w (DE-600)2057709-6 \|w (DE-576)256145733 \|x 1568-4946 \|7 nnns
773	1	8	\|g volume:61 \|g pages:1141-1152
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936	b	k	\|a 54.00 \|j Informatik: Allgemeines
951			\|a AR
952			\|d 61 \|h 1141-1152

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publishDate	2017
allfields	10.1016/j.asoc.2017.05.035 doi (DE-627)ELV000847186 (ELSEVIER)S1568-4946(17)30298-3 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Li, Lina verfasserin aut Development of associative memories with transformed data 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall. Associative memory Nonlinear transformation Fuzzy associative memory Correlation associative memory Morphological associative memory Particle swarm optimization (PSO) Pedrycz, Witold verfasserin aut Li, Zhiwu verfasserin (orcid)0000-0003-1547-5503 aut Enthalten in Applied soft computing Amsterdam [u.a.] : Elsevier Science, 2001 61, Seite 1141-1152 Online-Ressource (DE-627)334375754 (DE-600)2057709-6 (DE-576)256145733 1568-4946 nnns volume:61 pages:1141-1152 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 61 1141-1152
spelling	10.1016/j.asoc.2017.05.035 doi (DE-627)ELV000847186 (ELSEVIER)S1568-4946(17)30298-3 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Li, Lina verfasserin aut Development of associative memories with transformed data 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall. Associative memory Nonlinear transformation Fuzzy associative memory Correlation associative memory Morphological associative memory Particle swarm optimization (PSO) Pedrycz, Witold verfasserin aut Li, Zhiwu verfasserin (orcid)0000-0003-1547-5503 aut Enthalten in Applied soft computing Amsterdam [u.a.] : Elsevier Science, 2001 61, Seite 1141-1152 Online-Ressource (DE-627)334375754 (DE-600)2057709-6 (DE-576)256145733 1568-4946 nnns volume:61 pages:1141-1152 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 61 1141-1152
allfields_unstemmed	10.1016/j.asoc.2017.05.035 doi (DE-627)ELV000847186 (ELSEVIER)S1568-4946(17)30298-3 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Li, Lina verfasserin aut Development of associative memories with transformed data 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall. Associative memory Nonlinear transformation Fuzzy associative memory Correlation associative memory Morphological associative memory Particle swarm optimization (PSO) Pedrycz, Witold verfasserin aut Li, Zhiwu verfasserin (orcid)0000-0003-1547-5503 aut Enthalten in Applied soft computing Amsterdam [u.a.] : Elsevier Science, 2001 61, Seite 1141-1152 Online-Ressource (DE-627)334375754 (DE-600)2057709-6 (DE-576)256145733 1568-4946 nnns volume:61 pages:1141-1152 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 61 1141-1152
allfieldsGer	10.1016/j.asoc.2017.05.035 doi (DE-627)ELV000847186 (ELSEVIER)S1568-4946(17)30298-3 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Li, Lina verfasserin aut Development of associative memories with transformed data 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall. Associative memory Nonlinear transformation Fuzzy associative memory Correlation associative memory Morphological associative memory Particle swarm optimization (PSO) Pedrycz, Witold verfasserin aut Li, Zhiwu verfasserin (orcid)0000-0003-1547-5503 aut Enthalten in Applied soft computing Amsterdam [u.a.] : Elsevier Science, 2001 61, Seite 1141-1152 Online-Ressource (DE-627)334375754 (DE-600)2057709-6 (DE-576)256145733 1568-4946 nnns volume:61 pages:1141-1152 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 61 1141-1152
allfieldsSound	10.1016/j.asoc.2017.05.035 doi (DE-627)ELV000847186 (ELSEVIER)S1568-4946(17)30298-3 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Li, Lina verfasserin aut Development of associative memories with transformed data 2017 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall. Associative memory Nonlinear transformation Fuzzy associative memory Correlation associative memory Morphological associative memory Particle swarm optimization (PSO) Pedrycz, Witold verfasserin aut Li, Zhiwu verfasserin (orcid)0000-0003-1547-5503 aut Enthalten in Applied soft computing Amsterdam [u.a.] : Elsevier Science, 2001 61, Seite 1141-1152 Online-Ressource (DE-627)334375754 (DE-600)2057709-6 (DE-576)256145733 1568-4946 nnns volume:61 pages:1141-1152 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 61 1141-1152
language	English
source	Enthalten in Applied soft computing 61, Seite 1141-1152 volume:61 pages:1141-1152
sourceStr	Enthalten in Applied soft computing 61, Seite 1141-1152 volume:61 pages:1141-1152
format_phy_str_mv	Article
bklname	Informatik: Allgemeines
institution	findex.gbv.de
topic_facet	Associative memory Nonlinear transformation Fuzzy associative memory Correlation associative memory Morphological associative memory Particle swarm optimization (PSO)
dewey-raw	004
isfreeaccess_bool	false
container_title	Applied soft computing
authorswithroles_txt_mv	Li, Lina @@aut@@ Pedrycz, Witold @@aut@@ Li, Zhiwu @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	334375754
dewey-sort	14
id	ELV000847186
language_de	englisch
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author	Li, Lina
spellingShingle	Li, Lina ddc 004 bkl 54.00 misc Associative memory misc Nonlinear transformation misc Fuzzy associative memory misc Correlation associative memory misc Morphological associative memory misc Particle swarm optimization (PSO) Development of associative memories with transformed data
authorStr	Li, Lina
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topic_title	004 DE-600 54.00 bkl Development of associative memories with transformed data Associative memory Nonlinear transformation Fuzzy associative memory Correlation associative memory Morphological associative memory Particle swarm optimization (PSO)
topic	ddc 004 bkl 54.00 misc Associative memory misc Nonlinear transformation misc Fuzzy associative memory misc Correlation associative memory misc Morphological associative memory misc Particle swarm optimization (PSO)
topic_unstemmed	ddc 004 bkl 54.00 misc Associative memory misc Nonlinear transformation misc Fuzzy associative memory misc Correlation associative memory misc Morphological associative memory misc Particle swarm optimization (PSO)
topic_browse	ddc 004 bkl 54.00 misc Associative memory misc Nonlinear transformation misc Fuzzy associative memory misc Correlation associative memory misc Morphological associative memory misc Particle swarm optimization (PSO)
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title	Development of associative memories with transformed data
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title_full	Development of associative memories with transformed data
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title_sort	development of associative memories with transformed data
title_auth	Development of associative memories with transformed data
abstract	This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall.
abstractGer	This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall.
abstract_unstemmed	This study is concerned with the enhancements of performance of associative memories by nonlinear transformations (mappings) of spaces of data to be associated. The data are first transformed into a new space and then the resulting objects (patterns) are stored in the memory. The objective of the transformations is to enhance the recall abilities of the memories. Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces. The transformations are realized in the form of piecewise linear functions whose parameters are optimized with the use of Particle Swarm Optimization (PSO). The optimization is carried out for one-way recall as well as for bi-directional recall. A comprehensive suite of experiments involves several types of associative memories such as correlation associative memories, fuzzy associative memories and morphological associative memories. The experiments reveal some interesting relationships between the parameters of the nonlinear mappings and the resulting quality of the recall. They also help quantify the capabilities of the nonlinear mappings to improve the quality of recall.
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title_short	Development of associative memories with transformed data
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author2	Pedrycz, Witold Li, Zhiwu
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up_date	2024-07-06T19:22:59.645Z
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Development of associative memories with transformed data

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