000			01909nam a2200325 a 4500
003			BD-DhDIU
005			20170920143152.0
008			940801s1995 maua b 001 0 eng
010			_a 94030749
020			_a0262011441
035			_a(OCoLC)30971691
035			_a(OCoLC)ocm30971691
035			_a(NNC)1646866
040			_aDLC _cDLC _dDLC _dOrLoB _dBD-DhDIU _bENG
050	0	0	_aQP363.3 _b.A534 1995
082	0	0	_a612.8 _222
100	1		_aAnderson, James A. _93091
245	1	3	_aAn introduction to neural networks _cJames A. Anderson.
250			_aEastern economy ed.
260			_aNew Delhi : _bPrentice-Hall of India, _cc1995. [reprinted 2001]
300			_axi, 650 p. : _bill., figs., tables ; _c26 cm.
500			_a"A Bradford book."
504			_aIncludes bibliographical references and index.
505	0		_a1. Properties of Single Neurons -- 2. Synaptic Integration and Neuron Models -- 3. Essential Vector Operations -- 4. Lateral Inhibition and Sensory Processing -- 5. Simple Matrix Operations -- 6. The Linear Associator: Background and Foundations -- 7. The Linear Associator: Simulations -- 8. Early Network Models: The Perceptron -- 9. Gradient Descent Algorithms -- 10. Representation of Information -- 11. Applications of Simple Associators: Concept Formation and Object Motion -- 12. Energy and Neural Networks: Hopfield Networks and Boltzmann Machines -- 13. Nearest Neighbor Models -- 14. Adaptive Maps -- 15. The BSB Model: A Simple Nonlinear Autoassociative Neural Network -- 16. Associative Computation -- 17. Teaching Arithmetic to a Neural Network.
526			_aCSE, CIS, CS, ETE
650	0	0	_aNeural networks (Neurobiology) _93092
900			_bTOC
942			_2ddc _cBK _01
999			_c265 _d265