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Neural Networks Simon O. Haykin

Neural Networks By Simon O. Haykin

Neural Networks by Simon O. Haykin


$16.49
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Summary

Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications.

Neural Networks Summary

Neural Networks: A Comprehensive Foundation: United States Edition by Simon O. Haykin

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.

Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Thoroughly revised.

Table of Contents



1. Introduction.


2. Learning Processes.


3. Single-Layer Perceptrons.


4. Multilayer Perceptrons.


5. Radial-Basis Function Networks.


6. Support Vector Machines.


7. Committee Machines.


8. Principal Components Analysis.


9. Self-Organizing Maps.


10. Information-Theoretic Models.


11. Stochastic Machines & Their Approximates Rooted in Statistical Mechanics.


12. Neurodynamic Programming.


13. Temporal Processing Using Feedforward Networks.


14. Neurodynamics.


15. Dynamically Driven Recurrent Networks.


Epilogue.


Bibliography.


Index.

Additional information

GOR004916197
9780132733502
0132733501
Neural Networks: A Comprehensive Foundation: United States Edition by Simon O. Haykin
Used - Good
Hardback
Pearson Education (US)
1998-08-07
842
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

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