Optimizing Design and Application of BP Neural Networks Based on Genetic Algorithm

Wang Jie Niu; Er Guang Qu; Chun Yan Liu

doi:10.4028/www.scientific.net/AMR.317-319.245

Paper Titles

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Optimizing Design and Application of BP Neural Networks Based on Genetic Algorithm
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Investigation of Consumer-Oriented Product System Design
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319Optimizing Design and Application of BP Neural...

Optimizing Design and Application of BP Neural Networks Based on Genetic Algorithm

Abstract:

Genetic algorithm optimize weight’s volume of Neural Networks by optimizing learning rate and inertia coefficient, which overcome the BP algorithmic shortcoming of easy into the part extreme, and have ensured BP algorithmic training accuracy, and makes it have higher self-adaptability and self-learning ability.

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Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

245-249

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.245

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Online since:

August 2011

Authors:

Wang Jie Niu, Er Guang Qu, Chun Yan Liu

Keywords:

Genetic Algorithm (GA), Neural Network (NN), Optimise

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