Fundamentals of Neural Networks

Description

Book Description
Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

Product Details
Hardcover: 461 pages
Publisher: Prentice Hall; 1st edition (January 15, 1994)
Language: English
ISBN: 0133341860
http://www.bestsharing.com/files/ms001158307/Laurene_Fausett_-_Fundamentals_of_neural_networks.djvu.html

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Fundamentals of Neural Networks" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 383
2. Fundamentals of Neural Networks
3. Fundamentals of Neural Networks (Repost)
4. Fundamentals of Neural Networks: Architectures, Algorithms And Applications
5. Fundamentals of Neural Networks: Architectures, Algorithms And Applications (repost)
6. Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
7. [share_ebook] Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
8. Madan M. Gupta, Liang Jin - Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory (Repost)
9. Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
10. Dynamic Brain - from Neural Spikes to Behaviors: 12th International Summer School on Neural Networks
11. New Directions in Neural Networks
12. Neural Networks [ILLUSTRATED]
13. Progress in Neural Networks 6
14. An Introduction to Neural Networks
15. Invertebrate Neural Networks
16. Neural Networks Theory