Download Manufacturing Intelligence for Industrial Engineering: by Zude Zhou PDF

By Zude Zhou

The producing has skilled dramatic swap through the years with turning out to be developments, implementations, and purposes in expertise. production Intelligence for commercial Engineering: equipment for method Self-Organization, studying, and edition specializes in the newest suggestions for constructing, describing, integrating, sharing, and processing clever actions within the strategy of production in engineering. Containing examine from major foreign specialists, this e-book presents readers with medical foundations, theories, and key applied sciences of producing intelligence.

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The development of a KBS is a process of constantly modifying, expanding, and improving the knowledge in the knowledge base. Manageable. The knowledge base should be capable of being easily checked for its accuracy and consistency; also, the knowledge in the system should be debugged easily. Research on knowledge representation is still under development. The most important approach to test the pros and cons of the knowledge representation methods is their effectiveness in practical applications.

2. 3. Feigenbaum: knowledge is information that has been cut, shaped, explained, selected and converted. Bernstein: knowledge is composed of descriptions, relations and processes of a specific domain. Hayes-Roth: knowledge = fact + belief + heuristic. The knowledge base of expert systems often contains different types of knowledge, such as knowledge about objectives, knowledge about processes, commonsense knowledge and knowledge on goals, motivations, reasons and time, therefore expert systems are also known as KBS.

Forward and Backward Mixed Inference is proposed as an effective reasoning method, which combines the advantages of both forward and backward inferences.. Based on the original information, forward and backward mixed inference first obtains an uncertain conclusion by making use of forward inference, and then attempts to find evidence to prove the conclusion inferred by forward inference by making use of backward inference, repeating this process until the final conclusion is determined. In mixed inference, backward inference can also be executed before forward inference.

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