Evolutionary Learning Algorithms for Neural Adaptive Control

Evolutionary Learning Algorithms for Neural Adaptive Control
Author :
Publisher : Springer
Total Pages : 214
Release :
ISBN-10 : 9781447109037
ISBN-13 : 1447109031
Rating : 4/5 (031 Downloads)

Book Synopsis Evolutionary Learning Algorithms for Neural Adaptive Control by : Dimitris C. Dracopoulos

Download or read book Evolutionary Learning Algorithms for Neural Adaptive Control written by Dimitris C. Dracopoulos and published by Springer. This book was released on 2013-12-21 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be applied to difficult adaptive control problems which conventional results are either unable to solve , or for which they can not provide satisfactory results. It focuses on the principles involved, rather than on the modelling of the applications themselves, and therefore provides the reader with a good introduction to the fundamental issues involved.


Evolutionary Learning Algorithms for Neural Adaptive Control Related Books

Evolutionary Learning Algorithms for Neural Adaptive Control
Language: en
Pages: 214
Authors: Dimitris C. Dracopoulos
Categories: Computers
Type: BOOK - Published: 2013-12-21 - Publisher: Springer

GET EBOOK

Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be appli
Evolutionary Learning Algorithms for Neural Adaptive Control
Language: en
Pages: 224
Authors: Dimitris Dracopoulos
Categories:
Type: BOOK - Published: 2014-09-01 - Publisher:

GET EBOOK

Connectionist Models of Learning, Development and Evolution
Language: en
Pages: 327
Authors: Robert M. French
Categories: Psychology
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop -
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
Language: en
Pages: 229
Authors: Thomas Duriez
Categories: Technology & Engineering
Type: BOOK - Published: 2016-11-02 - Publisher: Springer

GET EBOOK

This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs power
X-Machines for Agent-Based Modeling
Language: en
Pages: 301
Authors: Mariam Kiran
Categories: Computers
Type: BOOK - Published: 2017-08-30 - Publisher: CRC Press

GET EBOOK

From the Foreword: "This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was de