Paper Title:
An Optimizing Method of Competitive Neural Network
| Periodical | Key Engineering Materials (Volumes 467 - 469) |
|---|---|
| Main Theme | Materials, Mechatronics and Automation |
| Edited by | Dehuai Zeng |
| Pages | 894-899 |
| DOI | 10.4028/www.scientific.net/KEM.467-469.894 |
| Citation | Hong Men et al., 2011, Key Engineering Materials, 467-469, 894 |
| Online since | February, 2011 |
| Authors | Hong Men, Hai Yan Liu, Lei Wang, Yun Peng Pan |
| Keywords | Competitive Neural Networks, DB Mark, Optimise |
| Price | US$ 28,- |
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Abstract
This paper presents an optimizing method of competitive neural network(CNN):During clustering analysis fixed on the optimum number of output neurons according to the change of DB value，and then adjusted connected weight including increasing ,dividing , delete. Each neuron had the different variety trend of learning rate according with the change of the probability of neurons. The optimizing method made classification more accurate. Simulation results showed that optimized network structure had a strong ability to adjust the number of clusters dynamically and good results of classification.
