TY  - GEN
AU  - Anderson,James A.
TI  - An introduction to neural networks
SN  - 8120313518
U1  - 006.3,AND 
PY  - 1995///
CY  - Cambridge, Mass.
PB  - MIT Press
KW  - Neural networks (Neurobiology)
N1  - Properties of Single Neurons (Page-1), Synaptic Integration and Neuron Models (Page-37), Essential Vector Operations (Page-63), Lateral Inhibition and Sensory Processing (Page-85), Simple Matrix Operations (Page-129), The Linear Associator Background and Foundations (Page-143), The Linear Associator Simulations (Page-175), Early Networks Models (Page-209), Gradient Descent Algorithms (Page-239), Representation of Information (Page-281), Applications of Simple Associators Concepts Formation and Object Motion (Page-351), Energy and Neural Networks Hopfield Networks and Boltzmann Machines (Page-401), Nearest Neighbor Models (Page-433), The BSB Model a Simple Nonlinear Autoassociative Neural Network (Page-493), Associative Computation (Page-545), Teaching Arithmetic to a Neural Network (Page-585)
ER  -