A New Ridgelet Neural Network Training Algorithm Based on Improved Particle Swarm Optimization | IEEE Conference Publication | IEEE Xplore

A New Ridgelet Neural Network Training Algorithm Based on Improved Particle Swarm Optimization


Abstract:

An improved particle swarm optimization is used to train ridgelet neural network instead of the traditional gradient algorithms. Firstly, the model of rigdelet neural net...Show More

Abstract:

An improved particle swarm optimization is used to train ridgelet neural network instead of the traditional gradient algorithms. Firstly, the model of rigdelet neural network and the traditional Particle Swarm Optimization(PSO) algorithm are briefly described. Secondly, an improved particle swarm optimization with self-adaptation mutation factor is proposed. Then the improved particle swarm optimization is applied to rigdelet neural network training. Experimental results demonstrate that the new algorithm is better than the traditional particle swarm optimization algorithm in training ridgelet neural network. It has both a better stability and a steady convergence, and is easy to be realized.
Date of Conference: 24-27 August 2007
Date Added to IEEE Xplore: 05 November 2007
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Conference Location: Haikou, China

References

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