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Neural Networks and Analog Computation

Beyond the Turing Limit

Language EnglishEnglish
Book Paperback
Book Neural Networks and Analog Computation Hava T. Siegelmann
Libristo code: 02232778
Publishers Springer, Basel, October 2012
The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks... Full description
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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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About the book

Full name Neural Networks and Analog Computation
Author Hava T. Siegelmann
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 181
EAN 9781461268758
ISBN 1461268753
Libristo code 02232778
Publishers Springer, Basel
Weight 320
Dimensions 156 x 237 x 14

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Mathematics & Science > Physics > Classical mechanics > Dynamics & statics
Computing & Information Technology > Computer science > Mathematical theory of computation > Maths for computer scientists
Mathematics & Science > Mathematics > Applied mathematics
Mathematics & Science > Physics > Statistical physics
Technology, Engineering, Agriculture > Technology: general issues > Maths for engineers
Computing & Information Technology > Business applications > Mathematical & statistical software
Computing & Information Technology > Databases > Data capture & analysis
Computing & Information Technology > Computer science > Artificial intelligence
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