Amazon cover image
Image from Amazon.com

An introduction to neural networks / James A. Anderson.

By: Material type: TextTextPublication details: New Delhi : Prentice Hall, c1995 [1997]Description: xi, 650 p. : ill. ; 27 cmISBN:
  • 0262011441
Subject(s): DDC classification:
  • 006.3 ANI 2001 20
LOC classification:
  • QP363.3 .A534 1995
Contents:
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Premier University Faculty of Engineering Library 006.3 ANI 2001 1 Available 3968

"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

There are no comments on this title.

to post a comment.
©️ All Right Reserved by: Premier University Library

Powered by Koha