Knowledge-Based Intelligent Techniques in IndustryCRC Press, 1998 M09 28 - 352 pages 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 seek friendlier approaches. Neural networks, fuzzy logic, and evolutionary computing tools added a new dimension to the quest for more intelligent tools to supplement the capabilities of expert systems. In one volume, Knowledge-Based Intelligent Techniques in Industry comprehensively brings together the more important developments in the use of intelligent techniques in solving industrial problems. The book's primary readership includes electrical engineers in industry as well as researchers working in computational intelligence research labs - outlining state-of-the-art techniques and cost-effective solutions. Knowledge-Based Intelligent Techniques in Industry singularly reflects the increasing study of computational intelligence techniques for designing and monitoring complex, less predictable electrical or mechanical systems. |
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Contents
KnowledgeBased Scheduling Techniques in Industry | 53 |
Fuzzy Image Analysis for Medical Applications | 85 |
Fuzzy Logic in Communication Networks | 125 |
Intelligent Motor Fault Detection | 191 |
SelfOrganizing Manufacturing Systems Using Genetic | 225 |
Common terms and phrases
4ESS 4ESS switches adaptive alarm analysis applications approach Artificial Intelligence artificial neural networks ASMOD bandwidth behavior cell CMAC component connection constraints converter correlation data mining DC/DC defined described detector device diagnosis distributed dynamic electric power EPRI equation Error Band estimation evaluation example expert system fuzzy controller fuzzy logic fuzzy routing fuzzy sets fuzzy system genetic algorithms global heuristic IEEE Transactions Immune Network implementation industry initialisation input Kalman filters knowledge base Knowledge-Based layer linear machines manufacturing system membership functions meta-scheduling methods module motor fault detection MotorSIM neurofuzzy node non-linear object operation optimization packet parameters path performance pixels prediction quantization vectors queue reactive scheduling represent routing algorithm rule-based rules scheduling problem scheduling system sensor shown in Figure simulation solution speed statistical multiplexing switching techniques telecommunication traffic training data variables virus