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Learning and Soft Computing 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Vojislav Kecman 作者

The MIT Press

译者

2001-03-19 出版日期

608 页数

USD 76.00 价格

Hardcover

丛书系列

9780262112550 图书编码

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发表于2024-06-18

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Learning and Soft Computing 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

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