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Optimization Techniques
Cornelius T. Leondes
出版
Elsevier
, 1998-02-09
主題
Computers / Artificial Intelligence / General
Science / Life Sciences / Zoology / General
Computers / Computer Science
Computers / Software Development & Engineering / General
Computers / Data Science / Neural Networks
Computers / Programming / General
Technology & Engineering / Electrical
Computers / Artificial Intelligence / Expert Systems
Technology & Engineering / Telecommunications
Mathematics / Applied
Computers / Design, Graphics & Media / Graphics Tools
Technology & Engineering / Civil / General
ISBN
0080551351
9780080551357
URL
http://books.google.com.hk/books?id=eISalfitAYYC&hl=&source=gbs_api
EBook
SAMPLE
註釋
Optimization Techniques
is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction,optimization issues and techniques for unsupervised learning neural networks, optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the Radial Basis Function in nonlinear dynamical systems.This volume is useful for practitioners, researchers, and students in industrial, manufacturing, mechanical, electrical, and computer engineering.
Provides in-depth treatment of theoretical contributions to optimal learning for neural network systems
Offers a comprehensive treatment of orthogonal transformation techniques for the optimization of neural network systems
Includes illustrative examples and comprehensive treatment of sequential constructive techniques for optimization of neural network systems
Presents a uniquely comprehensive treatment of the highly effective fast back propagation algorithms for the optimization of neural network systems
Treats, in detail, optimization techniques for neural network systems with nonstationary or dynamic inputs
Covers optimization techniques and applications of neural network systems in constraint satisfaction