TY  - BOOK
AU  - Anderson, James A  
AU  - James A ANDERSON
TI  - AN INTRODUCTION TO NEURAL NETWORKS
SN  - 9788120313514
U1  - 006.32 AND-I 
PY  - 2009///
CY  - New Delhi
PB  - PHI Pub.
KW  - Properties of Single Neurons , Synaptic Integration and Neuron Models
N1  - Introduction. Acknowledgments. Properties of Single Neurons. Synaptic Integration and Neuron Models. Essential Vector Operations. Lateral Inhibition and Sensory Processing. Simple Matrix Operations. The Linear Associator: Background and Foundations. The Linear Associator: Simulations. Early Network Models: The Perceptron. Gradient Descent Algorithms. Representation of Information. Applications of Simple Associators: Concepts Formation and Object Motion. Energy and Neural Networks: Hopfield Networks and Boltzmann Machines. Nearest Neighbor Models. Adaptive maps. The BSB Model: A Simple Nonlinear Autoassociative Neural Network. Associative Computation. Teaching Arithmetic to a Neural Network
UR  - https://books.google.co.in/books?id=_ib4vPdB76gC&printsec=frontcover&dq=an+introduction+to+neural+networks+by+anderson&hl=en&sa=X&ved=0ahUKEwjD-ZbD__7fAhXKR30KHYiUCI4Q6AEIKDAA#v=onepage&q=an%20introduction%20to%20neural%20networks%20by%20anderson&f=false
ER  -