Expert Systems Applications in Engineering and ManufacturingPrentice Hall, 1992 - 436 lappuses This comprehensive guide to engineering and manufacturing applications of expert systems takes an integrated approach to the expert system development process. Emphasizing the basic concepts and procedures, it focuses not only on the technology of expert systems, but also on how to select, initiate, implement, and manage the technology. The book presents guidelines ranging from problem selection, data analysis, validation, integration, implementation, and maintenance. It also covers heuristics, mathematical calculations, large data manipulations, statistical analysis, real-time information management, system optimization, and man-machine interfaces. |
Bieži izmantoti vārdi un frāzes
alternatives analysis approach artificial intelligence attributes backward chaining breadth-first search breakeven breakeven points budget Cantor set capabilities certainty factors Common LISP components consultation cost data base decision problem decision tree defined development tool Discuss DISPLAY domain expert elements environment evaluation example expert sys expert system project expert systems applications expert systems development expert systems technology FDISPLAY result FORTRAN forward chaining frames functions fuzzy set goal heuristics implementation Increased duration inference engine input integrated investment involves iss3 iss4 iss5 iss6 knowledge acquisition knowledge base knowledge engineer knowledge representation LISP logic machine manufacturing ment module needed nodes objects operation parameters performance pert presented problem domain procedure process planning programming language PROLOG Rain reasoning RECOMMENDATION=SEE_A_DOCTOR_IF_IT_GETS_WORSE represented rules selection semantic network solution solving specific STATE=MILD_PAIN STATE=NO_PAIN stratdec structure subset task techniques TEMPERATURE=FEVERISH TEMPERATURE=NORMAL tion Unchanged duration validation VP-Expert
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