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SERCountTM Ratings
Popularity 2

Principles of Neurocomputing for Science and Engin

The following report compares books using the SERCount Rating (base on the result count from the search engine).
Principles of Neurocomputing for Science and Engineering
Author: Fredric M. Ham
Made: McGraw-Hill Science/Engineering/Math
Date: 29 September, 2000
Media: Hardcover
Sales Rank: 349026
Availability: Usually ships in 2 to 3 weeks
Our Price*:$139.06
*Price subject to change

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Rating: 5/5 from 1 reviews

For beginners and graduate students

Rating: 5/5
I strongly recommend this text for beginners and graduate students who want to understand Neural Networks. First, the text book explains the why, where, and how to apply Neural Networks, which is the most important point for understanding Neural Networks. Second, mathematical proofs, clear description of algorithms and MATLAB codes encourage me to do it myself. And a lot of mathematical foundation in the Appendix allow me to understand quite easily complex mathematical concepts.
Aftersleep Books - 2005-06-20 07:00:00 © Copyright 2004 - www.aftersleep.com () sitemap | top

Publication date: 2004-08-29 10:19:00
Timestamp: 1119286809
Execution time: 0.040633916854858 seconds