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- W1532433750 abstract "Abstract This paper describes a GA (Genetic Algorithm) based approach to solve an operational condition determination of metal shaft grinding where, to obtain expected surface finish, several trade-offs exist among the conditions. To acquire empirical knowledge of human experts, a classifier-like rule based system is constructed. Causal relations between parameter valued and surface finish are encoded to strings in : rule form. To start the knowledge acquisition from quite a primitive level, unknown parameter values can be left unspecified as “don't care” until corresponding parameter value is given afterwards. The string from rules are refined automatically through interactions between the system and experts. The rule refinement is carried out using genetic operators. Competition of rules are resolved by means of bidding. The system is tested and evaluated." @default.
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- W1532433750 date "1992-01-01" @default.
- W1532433750 modified "2023-09-25" @default.
- W1532433750 title "Development of an Expert System for Metal Shaft Grinding - A Genetic Approach -" @default.
- W1532433750 doi "https://doi.org/10.1016/b978-0-444-89465-6.50060-0" @default.
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