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Více informací o knize Neural Networks and Analog Computation

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• Anotace
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Anotace knihy

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.§

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Neural Networks and Analog Computation
• Podnázev: Beyond the Turing Limit
• Autor: Hava T. Siegelmann
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 181
• EAN: 9781461268758
• ISBN: 1461268753
• ID: 02232778
• Nakladatelství: Springer, Basel
• Hmotnost: 320 g
• Rozměry: 237 × 156 × 14 mm
• Datum vydání: 21. October 2012

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