Neural Networks and Analog Computation is popular PDF and ePub book, written by Hava T. Siegelmann in 2012-12-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Neural Networks and Analog Computation can be Read Online from any device for your convenience.
Neural Networks and Analog Computation Book PDF Summary
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.
Detail Book of Neural Networks and Analog Computation PDF
- Author : Hava T. Siegelmann
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461207078
- Genre : Computers
- Total Page : 193 pages
- Language : English
- PDF File Size : 9,5 Mb
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