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| A Dynamic RBF Neural Network for Pattern Recognition |
| HAN Min, CUI PiSuo |
| School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116023 |
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Abstract The problem of training RBF (Radial Basis Function) neural network for pattern recognition is considered. In this paper, taking account of the specific feature of classification problem, a new training algorithm based on the regional mapping and novelty condition of RAN (Resource Allocating Network) is proposed. The results show the effectiveness of the proposed approach in RBF network training for pattern recognition, mainly in shortening the learning time, simplifying the structure of network and improving the classification accuracy.
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Received: 26 April 2004
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2006, Vol. 19 
