Paper Title:
Dynamic Controller Based on Ying Learning Algorithm for Medical Temperature System
  Abstract

In order to avoid the over fitting and training and solve the knowledge extraction problem in fuzzy neural networks system. Ying Learning Dynamic Fuzzy Neural Network (YL-DFNN) algorithm is proposed. The Learning Set based on K-VNN is constituted from message. Then the framework of is designed and its stability is proved. Finally, Simulation indicates that the novel algorithm is fast, compact, and capable in generalization.

  Info
Periodical
Edited by
Yanwen Wu
Pages
371-376
DOI
10.4028/www.scientific.net/AMR.187.371
Citation
P. Zhang, X. H. Hao, H. J. Li, "Dynamic Controller Based on Ying Learning Algorithm for Medical Temperature System", Advanced Materials Research, Vol. 187, pp. 371-376, 2011
Online since
February 2011
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