LEADER 03347nam 22006374a 450 001 9910814306903321 005 20200520144314.0 010 $a1-280-50587-7 010 $a9786610505876 010 $a1-4175-1150-8 010 $a600-00-0478-8 010 $a1-60129-443-3 035 $a(CKB)1000000000243929 035 $a(EBL)267513 035 $a(OCoLC)232157576 035 $a(SSID)ssj0000192482 035 $a(PQKBManifestationID)11166085 035 $a(PQKBTitleCode)TC0000192482 035 $a(PQKBWorkID)10187631 035 $a(PQKB)10013970 035 $a(MiAaPQ)EBC267513 035 $a(Au-PeEL)EBL267513 035 $a(CaPaEBR)ebr10116479 035 $a(CaONFJC)MIL50587 035 $a(EXLCZ)991000000000243929 100 $a20030122d2003 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLimitations and future trends in neural computation /$fedited by Sergey Ablameyko ... [et al.] 205 $a1st ed. 210 $aAmsterdam ;$aBurke, VA $cIOS Press ;$aTokyo $cOhmsha$dc2003 215 $a1 online resource (256 p.) 225 1 $aNATO science series. Series III, Computer and systems sciences,$x1387-6694 ;$vv. 186 300 $a"Published in cooperation with NATO Scientific Affairs Division." 311 $a1-58603-324-7 320 $aIncludes bibliographical references and index. 327 $aCover; Title page; Preface; Contents; Chapter 1. Continuous Problem Solving and Computational Suspiciousness; Chapter 2. The Complexity of Computing with Continuous Time Devices; Chapter 3. Energy-Based Computation with Symmetric Hopfield Nets; Chapter 4. Computational Complexity and the Elusiveness of Global Optima; Chapter 5. Impact of Neural Networks on Signal Processing and Communications; Chapter 6. From Clustering Data to Traveling as a Salesman: Empirical Risk Approximation as a Learning Theory; Chapter 7. Learning High-dimensional Data 327 $aChapter 8. The Curse of Dimensionality and the Blessing of Multiply Hybrid Networks Chapter 9. A Kind of Neural Computing Goes Practical: TeraOPS, Stored Programmable, Analog-and-Logic Visual Microprocessors - a Review; Chapter 10. On Pattern Formation in Cellular Neural Networks; Chapter 11. Reliability of Man-System Interaction and Theory of Neural Networks Operations; Chapter 12. From Neural Networks to Intelligent Systems: Selected Aspects of Training, Application and Evolution; Author Index 330 $aThis work reports critical analyses on complexity issues in the continuum setting and on generalization to new examples, which are two basic milestones in learning from examples in connectionist models. It also covers up-to-date developments in computational mathematics. 410 0$aNATO science series.$nSeries III,$pComputer and systems sciences ;$vv. 186. 606 $aNeural networks (Computer science)$vCongresses 606 $aNeural computers$vCongresses 615 0$aNeural networks (Computer science) 615 0$aNeural computers 676 $a006.3/2 701 $aAblameyko$b Sergey$f1956-$01686583 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910814306903321 996 $aLimitations and future trends in neural computation$94059511 997 $aUNINA