Neural Networks for Optimization and Signal Processing\n\nAndrzej Cichocki (Author), R. Unbehauen (Author)\n\n9780471930105, Wiley\n\nHardback, published 14 April 1993\n\n544 pages\n23.4 x 15.8 x 3.8 cm, 0.936 kg\n\nA topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.\n\nMathematical Preliminaries of Neurocomputing.\n Architectures and Electronic Implementation of Neural Network Models.\n Unconstrained Optimization and Learning Algorithms.\n Neural Networks for Linear, Quadratic Programming and Linear Complementarity Problems.\n A Neural Network Approach to the On-Line Solution of a System of Linear Algebraic Equations and Related Problems.\n Neural Networks for Matrix Algebra Problems.\n Neural Networks for Continuous, Nonlinear, Constrained Optimiza]