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

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 317-319)

Edited by:

Xin Chen

Pages:

245-249

DOI:

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

Citation:

W. J. Niu et al., "Optimizing Design and Application of BP Neural Networks Based on Genetic Algorithm", Advanced Materials Research, Vols. 317-319, pp. 245-249, 2011

Online since:

August 2011

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Price:

$35.00

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