| Modelling of the Relaxation Least Squares-Based Neural Networks and Its Application |
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| 作者姓名： | Lu Kongkuo Chen Zengqiang & Yuan Zhuzhi |
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| 作者单位： | Received July 5，2001 |
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| 基金项目： | This project was supported by the National Natural Science Foundation of China (No. 60174021)，the Key Project of Tianjin Natural Science Foundation (No.010115). |
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| 摘 要： | A relaxation least squares-based learning algorithm for neural networks is proposed. Not only does it have a fast convergence rate, but it involves less computation quantity. Therefore, it is suitable to deal with the case when a network has a large scale but the number of training data is very limited. It has been used in converting furnace process modelling, and impressive result has been obtained.
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Modelling of the Relaxation Least Squares-Based Neural Networks and Its Application |
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| Lu Kongkuo,Chen Zengqiang & Yuan Zhuzhi.Modelling of the Relaxation Least Squares-Based Neural Networks and Its Application[J].Journal of Systems Engineering and Electronics,2002,13(2). |
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| Authors: | Lu Kongkuo Chen Zengqiang Yuan Zhuzhi |
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| Abstract: | A relaxation least squares-based learning algorithm for neural networks is proposed. Not only does it have a fast convergence rate, but it involves less computation quantity. Therefore, it is suitable to deal with the case when a network has a large scale but the number of training data is very limited. It has been used in converting furnace process modelling, and impressive result has been obtained. |
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| Keywords: | Neural network Relaxation least square Davidon least square Converting furnace process |
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