Paper Title:
Training Algorithm of BP Networks Based on Improved Ant Colony Algorithm
  Abstract

This study proposes a new method to search optimal parameters of BP networks based on improved ant colony algorithm. The algorithm proposed that each ant searches only around the best solution of the previous iteration with, which can reduce search space fast. is proposed for improving the solution performance to reach global optimum fairly quickly. Simulation results indicate that optimize parameters of BP networks with this method can not only overcome the limitations both the slow convergence and the local extreme values by basic BP algorithm, but also improve the learning ability and generalization ability.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
310-313
DOI
10.4028/www.scientific.net/AMR.204-210.310
Citation
Y. Y. Ren, M. Sun, J. Bao, H. R. Wang, "Training Algorithm of BP Networks Based on Improved Ant Colony Algorithm", Advanced Materials Research, Vols. 204-210, pp. 310-313, 2011
Online since
February 2011
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