Expert rule acquisition and refinement by GA-an approach to multidimensional problems

Author

Minagawa, Masaaki ; Yoneda, Takao ; Kakazu, Yukinori

Author_Institution

Fac. of Social Inf., Sapporo Gakuin Univ., Hokkaido, Japan

fYear

1991

fDate

3-5 Nov 1991

Firstpage

1325

Abstract

Describes a genetic algorithm (GA) based approach to realize expert knowledge acquisition and refinement in a real world problem: parameter value determination for metal shaft grinding where several trade-offs exist among operational conditions to obtain expected surface finish. Causal relations are encoded to strings in ⟨condition⟩: ⟨action⟩ form and implemented as a rule based system. Genetic operators are applied to: (1) discretization of continuous parameter values; and (2) refinement of rules

Keywords

grinding; knowledge acquisition; knowledge based systems; manufacturing data processing; continuous parameter discretisation; expert knowledge acquisition; expert rule acquisition; genetic algorithm; manufacture computing; metal shaft grinding; production control; rule based system; rule refinement; strings; surface finish; Feeds; Genetics; Knowledge acquisition; Knowledge based systems; Mechatronics; Multidimensional systems; Rough surfaces; Shafts; Surface finishing; Surface roughness;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on

Conference_Location

Osaka

Print_ISBN

0-7803-0067-X

Type

conf

DOI

10.1109/IROS.1991.174687

Filename

174687