Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications (International Series on Computational Intelligence)
| Author | : | |
| Rating | : | 4.21 (890 Votes) |
| Asin | : | 0849398045 |
| Format Type | : | paperback |
| Number of Pages | : | 368 Pages |
| Publish Date | : | 2017-08-09 |
| Language | : | English |
DESCRIPTION:
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications. . This book presents specific projects where fusion techniques have been applied. From the Back Cover Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural networks, fuzzy systems, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineer
A jack of all trades, a master of none This book is a survey of other people's work, it doesn't go into depth and there are no implementations even for the purpose of illustration. The authors cover a lot of ground but they are just collating research done by other people for you. I am amazed that they believe that this is a $150 book.The subject matter is interesting to me. "Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithm" according to A Customer. Looking at the content of first 1Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithm A Customer Looking at the content of first 14 pages it seems that this book is going to be a very good reference for the researchers as well as beginers of the Evolutionary computing in Control. The conceptual part is also good as it can help beginers to get in to cognitive approach to the problem as tradinational methods are not useful in real t. pages it seems that this book is going to be a very good reference for the researchers as well as beginers of the Evolutionary computing in Control. The conceptual part is also good as it can help beginers to get in to cognitive approach to the problem as tradinational methods are not useful in real t
Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design.Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another.This book presents specific projects where fusion techniques have been applied. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. These specific applications include:direct frequency converterselectro-hydraulic systemsmotor controltoaster controlspeech recognitionvehicle routingfault diagnosisAsynchronous Transfer Mode (ATM) communications networkstelephones for hard-of-hearing peoplecontrol of gas turbine a