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Více informací o knize Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

• Parametry knihy
• Anotace
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Anotace knihy

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gradient neural networks that only deal with static problems of constant coefficient matrices and vectors, the authors’ new method called zeroing dynamics solves time-varying problems.

Zeroing Dynamics, Gradient Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The book brings together research in the developing fields of neural networks, neural dynamics, computer mathematics, numerical algorithms, time-varying computation and optimization, simulation and modeling, analog and digital hardware, and fractals.

The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. Readers will discover how novel theoretical results have been successfully applied to many practical problems. The authors develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Energy technology & engineering Electrical engineering

• Plný název: Zeroing Dynamics, Gradient Dynamics, and Newton Iterations
• Autor: Yunong Zhang, Xiaodong Lin, Zhengli Xiao, Mingzhi Mao
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 310
• EAN: 9781498753760
• ISBN: 9781498753760
• ID: 02809666
• Nakladatelství: Taylor & Francis Inc
• Hmotnost: 790 g
• Rozměry: 254 × 178 mm
• Datum vydání: 01. December 2015

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