LEADER 03372nam 2200649 450 001 9910830448903321 005 20240219135506.0 010 $a1-280-54179-2 010 $a9786610541799 010 $a0-470-30378-6 010 $a0-471-46092-3 010 $a0-471-42795-0 024 7 $a10.1002/0471427950 035 $a(CKB)111087027113098 035 $a(EBL)210504 035 $a(SSID)ssj0000250979 035 $a(PQKBManifestationID)11194243 035 $a(PQKBTitleCode)TC0000250979 035 $a(PQKBWorkID)10262426 035 $a(PQKB)10871767 035 $a(MiAaPQ)EBC210504 035 $a(CaBNVSL)mat05236712 035 $a(IDAMS)0b00006481094dd6 035 $a(IEEE)5236712 035 $a(OCoLC)85820337 035 $a(PPN)257909869 035 $a(EXLCZ)99111087027113098 100 $a20151221d2005 uy 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatic and dynamic neural networks $efrom fundamentals to advanced theory /$fMadan M. Gupta, Liang Jin, Noriyasu Homma 210 1$a[Hoboken, New Jersey] :$cWiley,$d2003. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2005] 215 $a1 online resource (751 p.) 300 $aDescription based upon print version of record. 311 $a0-471-21948-7 320 $aIncludes bibliographical references and index. 327 $aForeword: Lotfi A. Zadeh. -- Preface. -- Acknowledgments. -- PART I: FOUNDATIONS OF NEURAL NETWORKS. -- Neural Systems: An Introduction. -- Biological Foundations of Neuronal Morphology. -- Neural Units: Concepts, Models, and Learning. -- PART II: STATIC NEURAL NETWORKS. -- Multilayered Feedforward Neural Networks (MFNNs) and Backpropagation Learning Algorithms. -- Advanced Methods for Learning Adaptation in MFNNs. -- Radial Basis Function Neural Networks. -- Function Approximation Using Feedforward Neural Networks. -- PART III: DYNAMIC NEURAL NETWORKS. -- Dynamic Neural Units (DNUs): Nonlinear Models and Dynamics. -- Continuous-Time Dynamic Neural Networks. -- Learning and Adaptation in Dynamic Neural Networks. -- Stability of Continuous-Time Dynamic Neural Networks. -- Discrete-Time Dynamic Neural Networks and Their Stability. -- PART IV: SOME ADVANCED TOPICS IN NEURAL NETWORKS. -- Binary Neural Networks. -- Feedback Binary Associative Memories. -- Fuzzy Sets and Fuzzy Neural Networks. -- References and Bibliography. -- Appendix A: Current Bibliographic Sources on Neural Networks. -- Index. 330 $aProvides comprehensive treatment of the theory of both static and dynamic neural networks. * Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. *An Instructor Support FTP site is available from the Wiley editorial department. 606 $aNeural networks (Computer science) 610 $aElectrical and Electronics Engineering. 615 0$aNeural networks (Computer science) 676 $a006.3/2 676 $a006.32 700 $aGupta$b Madan M.$0350203 701 $aJin$b Liang$0432228 701 $aHomma$b Noriyasu$0315228 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910830448903321 996 $aStatic and dynamic neural networks$9803704 997 $aUNINA