Principles of neurocomputing for science and engineering - Info and Reading Options
By Frederic M Ham, Fredric M. Ham and Ivica Kostanic
"Principles of neurocomputing for science and engineering" was published by McGraw Hill in 2001 - New York, NY, it has 642 pages and the language of the book is English.
“Principles of neurocomputing for science and engineering” Metadata:
- Title: ➤ Principles of neurocomputing for science and engineering
- Authors: Frederic M HamFredric M. HamIvica Kostanic
- Language: English
- Number of Pages: 642
- Publisher: McGraw Hill
- Publish Date: 2001
- Publish Location: New York, NY
“Principles of neurocomputing for science and engineering” Subjects and Themes:
- Subjects: ➤ Neural computers - Neural networks (Computer science) - Qa76.87 .h352 2001 - 006.3/2
Edition Specifications:
- Pagination: xxx, 642 p. :
Edition Identifiers:
- The Open Library ID: OL17001057M - OL9280994W
- Online Computer Library Center (OCLC) ID: 44391536
- Library of Congress Control Number (LCCN): 00042710
- ISBN-10: 0070259666
- All ISBNs: 0070259666
AI-generated Review of “Principles of neurocomputing for science and engineering”:
"Principles of neurocomputing for science and engineering" Description:
The Open Library:
"Principles of Neurocomputing for Science and Engineering is a textbook intended for individuals who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world problems in science and engineering. Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET.
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