Industrial Applications of Genetic Algorithms
Industrial Applications of Neural Networks
By Charles Karr
April 12, 1999
Written as a result of a seven year research project using computational intelligence techniques for solving mineral processing problems at the U.S. Bureau of Mines, this book is about intelligent, adaptive process control. It brings together ideas from the field of computational intelligence , a ...
Edited By Charles Karr, L. Michael Freeman
December 29, 1998
Genetic algorithms (GAs) are computer-based search techniques patterned after the genetic mechanisms of biological organisms that have adapted and flourished in changing, highly competitive environments for millions of years. GAs have been successfully applied to problems in a variety of studies, ...
Edited By Lakhmi C. Jain, Clarence W. de Silva
December 29, 1998
This book describes important techniques, developments, and applications of computational intelligence in system control.Chapters present:an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computinga rigorous treatment of intelligent control industrial ...
Edited By Lakhmi C. Jain, N.M. Martin
November 17, 1998
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a ...
Edited By Lakhmi C. Jain, V. Rao Vemuri
October 28, 1998
Industrial Applications of Neural Networks explores the success of neural networks in different areas of engineering endeavors. Each chapter shows how the power of neural networks can be exploited in modern engineering applications.The first seven chapters focus on image processing as well as ...
By Lakhmi C. Jain, R.P. Johnson, Yoshiyasu Takefuji, Lofti A. Zadeh
September 28, 1998
The successful development and deployment of expert system tools spurred the initial momentum in developing and using intelligent techniques in industry. The brittleness of expert systems and the enormous effort involved in the development and maintenance of knowledge bases prompted researchers to ...