Principles of Neurocomputing for Science and Engineering 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Principles of Neurocomputing for Science and Engineering

简体网页||繁体网页
Fredric M. Ham 作者
McGraw-Hill Science/Engineering/Math
译者
2000-09-29 出版日期
0 页数
USD 163.44 价格
Hardcover
丛书系列
9780070259669 图书编码

Principles of Neurocomputing for Science and Engineering 在线电子书 图书标签: 计算机  Neurocomputing   


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Principles of Neurocomputing for Science and Engineering 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Principles of Neurocomputing for Science and Engineering 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Principles of Neurocomputing for Science and Engineering 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Principles of Neurocomputing for Science and Engineering 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Principles of Neurocomputing for Science and Engineering 在线电子书 图书描述

This exciting new text covers artificial neural networks, but more specifically, neurocomputing. Neurocomputing is concerned with processing information, which involves a learning process within an artificial neural network architecture. This neural architecture responds to inputs according to a defined learning rule and then the trained network can be used to perform certain tasks depending on the application. Neurocomputing can play an important role in solving certain problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis.

"Principles of Neurocomputing for Science and Engineering," unlike other neural networks texts, is written specifically for scientists and engineers who want to apply neural networks to solve complex problems. For each neurocomputing concept, a solid mathematical foundation is presented along with illustrative examples to accompany that particular architecture and associated training algorithm.

The book is primarily intended for graduate-level neural networks courses, but in some instances may be used at the undergraduate level. The book includes many detailed examples and an extensive set of end-of-chapter problems.

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