Title :
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
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;
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
DOI :
10.1109/IROS.1991.174687
