An introduction to neural networks / James A. Anderson.
Material type:
TextPublication details: New Delhi : Prentice Hall, c1995 [1997]Description: xi, 650 p. : ill. ; 27 cmISBN: - 0262011441
- 006.3 ANI 2001 20
- QP363.3 .A534 1995
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Books
|
Premier University Central Library | 006.3 ANI 2001 | 1 | In transit from Premier University Central Library to Premier University Faculty of Engineering Library since 16/02/2025 | 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.