Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Materials and Its Applications
Edited by
Xin Chen
Pages
245-249
DOI
10.4028/www.scientific.net/AMR.317-319.245
Citation
W. J. Niu, E. G. Qu, C. Y. Liu, "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
$32.00
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