Zhang Neural Networks & Neural-Dynamic Method

Yunong Zhang, Chenfu Yi (Autoren)

Buch | Hardcover

261 Seiten

2011
Nova Science Publishers Inc (Verlag)
9781616688394 (ISBN)

Artikel merken

The real-time solution to a mathematical problem arises in numerous fields of science, engineering, and business. This book presents ZNN, ZD or ZND theory that formalises these problems and solutions in the time-varying context, and provides compact models that could solve those dynamic problems.

The real-time solution to a mathematical problem arises in numerous fields of science, engineering, and business. It is usually an essential part of many solutions, e.g., matrix/vector computation, optimisation, control theory, kinematics, signal processing, and pattern recognition. In recent years, due to the in-depth research on neural networks, numerous recurrent neural networks (RNN) based on the gradient-based method have been developed and investigated. Particularly, some simple neural networks were proposed to solve linear programming problems in real time and implemented on analogue circuits. In this book, ZNN, ZD or ZND theory formalises these problems and solutions in the time-varying context and provides compact models that could solve those dynamic problems.

Matrix-Vector Problems; ZNN Solving the Time-Varying Linear System A(t)x(t) = b(t); ZNN for Time-Varying Convex Quadratic Optimization; ZNN for Time-Varying Matrix Inversion & Pseudoinverse-Solving; ZNN for Linear Time-Varying Matrix Equations Solving; ZNN for Time-Varying Matrix Square Roots Finding; Zhang Dynamics for the Scalar-Valued Nonlinear Problems; ZNN & GNN Models for Linear Constant Problems Solving; Unified Neural-Network Models; Conclusions & Outlook; Index.

Zusatzinfo	tables & charts
Verlagsort	New York
Sprache	englisch
Maße	260 x 180 mm
Gewicht	712 g
Themenwelt	Mathematik / Informatik ► Mathematik
ISBN-13	9781616688394 / 9781616688394
Zustand	Neuware