DocumentCode :
3256222
Title :
Evolving color paint
Author :
Mizutani, Eiji ; Takagi, Hideyuki ; Auslander, David M.
Author_Institution :
Dept. of Inf. Syst., Kansai Paint Co. Ltd., Osaka, Japan
Volume :
2
fYear :
1995
fDate :
29 Nov-1 Dec 1995
Firstpage :
533
Abstract :
This paper presents an evolutionary computing intelligence for the paint industry. It integrates three principle components of soft-computing and problem-specific knowledge to perform a computerized color recipe prediction: that is, neural networks (NNs), a fuzzy system (FS), and a genetic algorithm (GA) with a knowledge base (KB) complement each other in obtaining precise prediction outputs through the simulation of the color paint manufacturing process. In light of both potential versatility and practical validity in this industrial application, we have realized that the proposed hybrid system can yield advantages over other approaches in that it can evolve their results
Keywords :
colour graphics; computer integrated manufacturing; fuzzy systems; genetic algorithms; knowledge based systems; manufacturing industries; neural nets; color paint manufacturing process; computerized color recipe prediction; evolutionary computing; evolving color paint; fuzzy system; genetic algorithm; genetic algorithms; industrial application; knowledge based system; neural networks; paint industry; problem-specific knowledge; simulation; soft-computing; Color; Competitive intelligence; Computational modeling; Computer aided manufacturing; Computer industry; Computer networks; Fuzzy systems; Genetic algorithms; Neural networks; Paints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2759-4
Type :
conf
DOI :
10.1109/ICEC.1995.487440
Filename :
487440
Link To Document :
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