19 July 2013 The application of optimal weights initialization algorithm based on K-L transform in multi-layer perceptron networks
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88784O (2013) https://doi.org/10.1117/12.2031954
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
The paper presents a novel method of initial weights optimization method in Multi-Layer Perceptron Network(MLPN). Firstly, the sample sets should be transformed by K-L Transform. Secondly, use K-L Converting Matrix to initialize the weights between input and hidden layer. Thirdly the MLPN is trained by BP algorithm, and the convergence speed of MLPN is improved evidently. The ultimate test shows the new algorithm is suitable for the situation of low-dimensional data.
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Wei Xiao, Dun Pu, Zhicheng Dong, Cungen Liu, "The application of optimal weights initialization algorithm based on K-L transform in multi-layer perceptron networks", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88784O (19 July 2013); doi: 10.1117/12.2031954; https://doi.org/10.1117/12.2031954
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