TY  - BOOK
AU  - Anderson,James A.
TI  - An introduction to neural networks
SN  - 0262011441
AV  - QP363.3 .A534 1995
U1  - 006.3 ANI 2001 20
PY  - 1995///
PY  - 1997///]
CY  - New Delhi
PB  - Prentice Hall
KW  - Neural networks (Neurobiology)
N1  - "A Bradford book."; Includes bibliographical references and index; 1. 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; CSE
ER  -