Neural Networks and Computational Complexity 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Siegelmann, Hava T. 作者

Springer Verlag

译者

1998-12 出版日期

195 页数

$ 157.07 价格

HRD

丛书系列

9780817639495 图书编码

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Neural Networks and Computational Complexity 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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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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