Neural Networks and Computational Complexity 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Siegelmann, Hava T. 作者

Springer Verlag

譯者

1998-12 出版日期

195 頁數

$ 157.07 價格

HRD

叢書系列

9780817639495 圖書編碼

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發表於2024-11-25

Neural Networks and Computational Complexity 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Neural Networks and Computational Complexity 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Neural Networks and Computational Complexity 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Neural Networks and Computational Complexity 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Neural Networks and Computational Complexity 在線電子書圖書描述

The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple assemblies of basic processors interconnected in an intricate structure. Examining these networks under various resource constraints reveals a continuum of computational devices, several of which coincide with well-known classical models. On a mathematical level, the treatment of neural computations enriches the theory of computation but also explicated the computational complexity associated with biological networks, adaptive engineering tools, and related models from the fields of control theory and nonlinear dynamics. The material in this book will be of interest to researchers in a variety of engineering and applied sciences disciplines. In addition, the work may provide the base of a graduate-level seminar in neural networks for computer science students.

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