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Learning and Soft Computing 2025 pdf epub mobi 電子書下載

Learning and Soft Computing

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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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發表於2025-02-08

Learning and Soft Computing 2025 pdf epub mobi 電子書下載

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出版者:The MIT Press

作者:Vojislav Kecman

出品人:

頁數:608

譯者:

出版時間:2001-03-19

價格:USD 76.00

裝幀:Hardcover

isbn號碼:9780262112550

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Learning and Soft Computing 2025 pdf epub mobi 電子書下載

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