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A Father-Keeping Immune Genetic Algorithm Based Neural Network Model for Properties Prediction of Carbon Fiber
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A Father-Keeping Immune Genetic Algorithm Based Neural Network Model for Properties Prediction of Carbon Fiber

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Abstract:

Aiming to guide the manufacture process of carbon fiber and obtain high properties productions, we propose a hybrid algorithm named father-keeping immune genetic algorithm based on back propagation neural network (FKIGA-BP) as a properties prediction model. The present study also compares it with BP neural network forecasting method. It shows better search precision and convergence efficiency. The prediction results are consistent with the practical experiment data.

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Periodical:

Advanced Materials Research (Volume 699)

Pages:

921-925

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.699.921

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Online since:

May 2013

Authors:

Jia Jia Chen, Yong Sheng Ding, Kuang Rong Hao

Keywords:

Carbon Fiber (CF), Immune Genetic Algorithm, Neural Network (NN), Properties Prediction

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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