LEADER 04254nam 22008295 450 001 9910143868203321 005 20251116234345.0 010 $a3-540-44869-1 024 7 $a10.1007/3-540-44869-1 035 $a(CKB)1000000000212036 035 $a(SSID)ssj0000492148 035 $a(PQKBManifestationID)11314104 035 $a(PQKBTitleCode)TC0000492148 035 $a(PQKBWorkID)10490642 035 $a(PQKB)11115120 035 $a(DE-He213)978-3-540-44869-3 035 $a(MiAaPQ)EBC3073359 035 $a(PPN)155232843 035 $a(BIP)13627250 035 $a(BIP)8705883 035 $a(EXLCZ)991000000000212036 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Neural Nets. Problem Solving Methods $e7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3-6. Proceedings, Part II /$fedited by José Mira, José R. Alvarez 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (XXVIII, 828 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2687 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-40211-X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aNets Design -- Applications in Robotics -- Sources Separation -- Genetics Algorithms -- Soft-Computing -- Images -- Medical Applications -- Other Applications. 330 $aThe two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Mao?, Menorca, Spain in June 2003.The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.  410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v2687 606 $aArtificial intelligence 606 $aComputers 606 $aAlgorithms 606 $aOptical data processing 606 $aPattern perception 606 $aEvolution (Biology) 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aEvolutionary Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L21001 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aAlgorithms. 615 0$aOptical data processing. 615 0$aPattern perception. 615 0$aEvolution (Biology) 615 14$aArtificial Intelligence. 615 24$aComputation by Abstract Devices. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aEvolutionary Biology. 676 $a591.888 702 $aMira$b J$g(Jose?),$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAlvarez$b José R$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143868203321 996 $aArtificial Neural Nets. Problem Solving Methods$91906575 997 $aUNINA