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| Study of fast learning algorithm for neural networks base on CGM-OC approach |
| Zheng Jianguo; Liu Fang; Jiao Licheng |
| Key Lab. for Radar Signal Processing Xidian University Xi an 710071 China |
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Abstract Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system. In order to improve the learning efficiency and stability of feedforward neural network, a fast learning algorithm for neural networks base on CGM-OC approach is presented. Compared with other learning methods such as BP method, Broyden Flecher Goldfarl Shanno method. Power method etc., simulation results show that the proposed method is an efficient and fast method.
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Received: 03 November 2000
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2002, Vol. 24 
