LEADER 04725nam 22008055 450 001 996465938203316 005 20230222205749.0 010 $a1-280-38908-7 010 $a9786613567000 010 $a3-642-15819-6 024 7 $a10.1007/978-3-642-15819-3 035 $a(CKB)2670000000045107 035 $a(SSID)ssj0000680838 035 $a(PQKBManifestationID)11449686 035 $a(PQKBTitleCode)TC0000680838 035 $a(PQKBWorkID)10627349 035 $a(PQKB)10065122 035 $a(DE-He213)978-3-642-15819-3 035 $a(MiAaPQ)EBC3065851 035 $a(PPN)149025181 035 $a(EXLCZ)992670000000045107 100 $a20100913d2010 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Neural Networks - ICANN 2010$b[electronic resource] $e20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I /$fedited by Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XXXI, 587 p. 227 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v6352 300 $aInternational conference proceedings. 311 $a3-642-15818-8 320 $aIncludes bibliographical references and author index. 327 $aANN Applications -- Bayesian ANN -- Bio Inspired ? Spiking ANN -- Biomedical ANN -- Computational Neuroscience -- Feature Selection/Parameter Identification and Dimensionality Reduction -- Filtering -- Genetic ? Evolutionary Algorithms -- Image ? Video and Audio Processing. 330 $ath This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15?18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability ?to learn? by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v6352 606 $aArtificial intelligence 606 $aComputer science 606 $aAlgorithms 606 $aPattern recognition systems 606 $aApplication software 606 $aComputer vision 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aAlgorithms 606 $aAutomated Pattern Recognition 606 $aComputer and Information Systems Applications 606 $aComputer Vision 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aPattern recognition systems. 615 0$aApplication software. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aAutomated Pattern Recognition. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Vision. 676 $a006.3 702 $aDiamantaras$b Konstantinos$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDuch$b Wlodek$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIliadis$b Lazaros S$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465938203316 996 $aArtificial Neural Networks - ICANN 2010$92592095 997 $aUNISA LEADER 01167nam0 22003133i 450 001 UTO0858134 005 20251003044436.0 010 $a0136266568 100 $a20131125d1987 ||||0itac50 ba 101 | $aeng 102 $aus 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aNumerical methods for computer science, engineering, and mathematics$fJohn H. Matthews 210 $aEngelewood Cliffs (NJ)$cPrentice Hall$dİ1987 215 $aXIII, 507 p.$d24 cm 300 $aBibliografia: P. 463-470. 606 $aAnalisi numerica$2FIR$3SBLC012827$9E 676 $a518$9ANALISI NUMERICA$v14 676 $a518$9Analisi numerica$v22 700 1$aMathews$b, John H.$f <1943- >$3MILV137927$4070$021615 801 3$aIT$bIT-000000$c20131125 850 $aIT-BN0095 901 $bNAP 01$cSALA DING $n$ 912 $aUTO0858134 950 0$aBiblioteca Centralizzata di Ateneo$b1 v.$c1 v.$d 01SALA DING 518 MAT.nu$e 0102 0000006765 VMA A4 1 v.$fY $h19940216$i19940216 977 $a 01 996 $aNumerical Methods for Computer Science, Engineering, and Mathematics$9349603 997 $aUNISANNIO