Paper Title:
Application of Hybrid Genetic Algorithm in Ground Stress Inversion
  Abstract

This paper propose genetic algorithm combined with neural networks, greatly improving the convergence rate of neural network aim at the disadvantage of the traditional BP neural network inversion method is easy to fall into local minimum and slow convergence.Finally, verified the feasibility and superiority of the above methods through the successful initial ground stress inversion of actual project.

  Info
Periodical
Edited by
Xuejun Zhou
Pages
337-341
DOI
10.4028/www.scientific.net/AMM.90-93.337
Citation
R. G. Yu, Y. Tian, "Application of Hybrid Genetic Algorithm in Ground Stress Inversion", Applied Mechanics and Materials, Vols. 90-93, pp. 337-341, 2011
Online since
September 2011
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