000			01524cam a22002534a 4500
008			100223s1996 maua b 001 0 eng
020			_a9812403760
035			_a(Sirsi) u3697
040			_aEG-CaNU _c EG-CaNU _d EG-CaNU
042			_ancode
082	0	4	_a006.3 _2 21
100	1		_aHagan, Martin T. _9321
245	1	0	_aNeural network design / _c Martin T. Hagan, Howard B. Demuth, Mark Beale.
250			_a1st ed.
260			_aBoston : _b PWS Pub., _c c1996.
300			_a1 v. (various pagings) : _b ill. ; _c 24 cm. + _e 1 computer disk (3 1/2 in.)
504			_aIncludes bibliographical references and index.
505	0		_aPreface -- Introduction -- Neuron Model and Network Architectures -- Perceptron Learning Rule -- Signal and Weight Vector Spaces -- Linear Transformations for Neural Networks -- Supervised Hebbian Learning -- Performance Surfaces and Optimum Points -- Performance Optimization -- Widrow-Hoff Learning -- Backpropagation -- Variations on Backpropagation -- Associative Learning -- Competitive Networks -- Grossberg Network -- Adaptive Resonance Theory -- Stability -- Hopfield Network -- Epilogue.
520			_aThis guide to neural networks includes worked problems in each chapter, and supporting software demonstrations. The authors of this work also developed the neural networks toolbox (for MathWorks) and the fuzzy systems toolbox.
650		0	_aNeural networks (Computer science) _91507
700	1		_aDemuth, Howard B. _97278
700	1		_aBeale, Mark H. _97279
596			_a1
999			_c2681 _d2681