Genetic Algorithms Study in Switch Electrical Appliances Electric Arc Feature Extraction

Jing Sheng Yu; Li Li; Ting Liu

doi:10.4028/www.scientific.net/AMM.365-366.165

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 365-366Genetic Algorithms Study in Switch Electrical...

Genetic Algorithms Study in Switch Electrical Appliances Electric Arc Feature Extraction

Abstract:

The genetic algorithm applied to switch electrical appliances electric arc feature extraction, based on genetic algorithm, the switch electrical arc feature extraction model was established. The initial pool formation, evaluation individual, reproduction, crossover and mutation have done a detailed representation. This model can eliminate the slow convergence and so easy to fall into the local minimum shortcomings of BP neural network computing graphics weights. The experiment showed that genetic algorithm can better converge to the global optimal solution, more in line with the arc Feature Extraction fact, and more effectively improving the quality of graphics extraction.

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Periodical:

Applied Mechanics and Materials (Volumes 365-366)

Pages:

165-169

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.365-366.165

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Online since:

August 2013

Authors:

Jing Sheng Yu, Li Li, Ting Liu

Keywords:

Arc Features, Genetic Algorithm (GA), Switch Electrical Appliances

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