Research on Optimization of Processing Parameter in Turning Process Based on BP Neural Network and Genetic Algorithm

Abstract:

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A method of turning process parameter optimization combining neural networks with genetic algorithm was presented.Taking experimental data as samples,the model between processing parameter and processing function was established based on BP neural networks.Counter to various product objectives,processing parameter is optimized by genetic algorithm.When turning by the optimized process parameters, the error of the objective function <1%. It fully played their function which extensive mapping ability of neural networks and rapid global convergence of genetic algorithm.

Info:

Periodical:

Key Engineering Materials (Volumes 480-481)

Edited by:

Yanwen Wu

Pages:

1358-1361

DOI:

10.4028/www.scientific.net/KEM.480-481.1358

Citation:

B. D. Li and X. H. Wu, "Research on Optimization of Processing Parameter in Turning Process Based on BP Neural Network and Genetic Algorithm", Key Engineering Materials, Vols. 480-481, pp. 1358-1361, 2011

Online since:

June 2011

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Price:

$38.00

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