| Application of Partially Connected Neural Network |
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| 作者姓名： | 李刚 赵林 |
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| 作者单位： | Glorious Sun School of Business ＆ Management,Donghua University, Shanghai 200051 , China |
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| 摘 要： | This paper focuses mainly on application of Partially Connected Backpropagation Neural Network （PCBP） instead of typical Fully Connected Neural Network （FCBP）. The initial neural network is fully connected, after training with sample data using cross-entropy as error function, a clustering method is employed to cluster weights between inputs to hidden layer and from hidden to output layer, and connections that are relatively unnecessary are deleted, thus the initial network becomes a PCBP network. Then PCBP can be used in prediction or data mining by training PCBP with data that comes from database. At the end of this paper, several experiments are conducted to illustrate the effects of PCBP using Iris data set.
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| 关 键 词： | FCBP PCBP 神经网络 计算机技术 |
| 文章编号： | 1672-5220（2007）02-0260-04 |
| 修稿时间： | 2006-08-20 |
Application of Partially Connected Neural Network |
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| LI Gang,ZHAO Lin.Application of Partially Connected Neural Network[J].Journal of Donghua University,2007,24(2):260-263. |
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| Authors: | LI Gang ZHAO Lin |
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| Abstract: | This paper focuses mainly on application of Partially Connected Backpropagation Neural Network (PCBP) instead of typical Fully Connected Neural Network (FCBP). The initial neural network is fully connected, after training with sample data using cross-entropy as error function, a clustering method is employed to cluster weights between inputs to hidden layer and from hidden to output layer, and connections that are relatively unnecessary are deleted, thus the initial network becomes a PCBP network.Then PCBP can be used in prediction or data mining by training PCBP with data that comes from database. At the end of this paper, several experiments are conducted to illustrate the effects of PCBP using Iris data set. |
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| Keywords: | neural network FCBP PCBP Pruning |
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