Numerical Control Interpolation Algorithm of Aspheric Surface Based on the Genetic Algorithms and Neural Network

Abstract:

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When the Neural Network model is used to interpolate the non-circular curves, there are shortcomings of converging slowly and getting into the local optimum easily. A novel numerical control interpolation algorithm based on the GA (Genetic Algorithms) and NN (Neural Network) was introduced for the ultra-precision machining of aspheric surfaces. The algorithm integrated the global searching of GA with the parallel processing of NN, enhanceed the convergence speed and found the global optimum. At the end, the quintic non-circular curve was taken as an example to do the emulation and experiment. The results prove that this algorithm can fit the non-circular curve accurately, improve the precision of numerical control interpolation and reduce the number of calculating and interpolation cycles.

Info:

Periodical:

Key Engineering Materials (Volumes 364-366)

Edited by:

Guo Fan JIN, Wing Bun LEE, Chi Fai CHEUNG and Suet TO

Pages:

25-29

DOI:

10.4028/www.scientific.net/KEM.364-366.25

Citation:

F. H. Zhang et al., "Numerical Control Interpolation Algorithm of Aspheric Surface Based on the Genetic Algorithms and Neural Network", Key Engineering Materials, Vols. 364-366, pp. 25-29, 2008

Online since:

December 2007

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Price:

$35.00

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