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- W2359078106 abstract "The curing cycle of polymeric composites has significant effect on its performance and economic indices.Their relationships can not be described by empirical equations and shown to be nonlinear.Trial-and-error method was conventionally performed in the experiments,which cost too much time and still can not achieve the optimization.Neural network approach has good capability of nonlinear mapping and can summarize the function relationships of data automatically.Genetic algorithm can realize the multipoint population search and not be lost in the local optimized point.This study uses NOL rings made of carbon fiber wound reinforced plastics(CFWRP) as specimens.Based on the experiments,the optimization of curing cycle of NOL rings is performed with the combination of artificial neural network and genetic algorithm.The results are satisfactory." @default.
- W2359078106 created "2016-06-24" @default.
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- W2359078106 date "2007-01-01" @default.
- W2359078106 modified "2023-09-23" @default.
- W2359078106 title "OPTIMIZATION OF CURING CYCLE OF CFWRP WITH COMBINATION OF ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM" @default.
- W2359078106 hasPublicationYear "2007" @default.
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