Graupe, Daniel.
Principles of artificial neural networks / Daniel Graupe. - 2nd ed. - Singapore ; Hackensack, N.J. : World Scientific, c2007. - xv, 303 p. : ill. ; 26 cm. - Advanced series on circuits and systems ; vol. 6 . - Advanced series on circuits and systems ; v. 6. .
Includes bibliographical references (p. 291-297) and indexes.
Fundamentals of biological neural networks -- Basic principles of ANNs and their early structures -- The perceptron -- The madaline -- Back propagation -- Hopefield networks -- Counter propagation -- Adaptive resonance theory -- The cognitron and the neocognitron -- Statistical training -- Recurrent (time cycling) back propagation networks -- Large scale memory storage and retrieval (LAMSTAR) network.
9812706240 9789812706249
2008270006
Neural networks (Computer science)
QA76.87 / G77 2007
006.3/2
Principles of artificial neural networks / Daniel Graupe. - 2nd ed. - Singapore ; Hackensack, N.J. : World Scientific, c2007. - xv, 303 p. : ill. ; 26 cm. - Advanced series on circuits and systems ; vol. 6 . - Advanced series on circuits and systems ; v. 6. .
Includes bibliographical references (p. 291-297) and indexes.
Fundamentals of biological neural networks -- Basic principles of ANNs and their early structures -- The perceptron -- The madaline -- Back propagation -- Hopefield networks -- Counter propagation -- Adaptive resonance theory -- The cognitron and the neocognitron -- Statistical training -- Recurrent (time cycling) back propagation networks -- Large scale memory storage and retrieval (LAMSTAR) network.
9812706240 9789812706249
2008270006
Neural networks (Computer science)
QA76.87 / G77 2007
006.3/2