广义多层感知器的第二次学习

Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation Pub Date : 1993-10-19 DOI:10.1109/TENCON.1993.320125

Xun Liang, Shaowei Xia

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引用次数: 1

摘要

给出并讨论了一种去除冗余隐藏神经元的方法。然后给出了剪枝过程中广义变化值的充要条件，并给出了一些相关定理，从而得到了广义变化值的表达式。最后，讨论了在测试集中学习模式的步骤，即第二次学习，并证明了在第二次学习过程中泛化能力的变化。

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Second learning of generalized multilayer perceptrons

A method of pruning away redundant hidden neurons is given and discussed. Then the necessary and sufficient condition of the generalized value of change during the pruning process is given, as well as some relevant theorems, which leads to the formula of the generalized value of change. Finally, the steps of learning the patterns in the testing set which is called the second learning is addressed, and the change of generalization ability during second learning is proved.<>

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Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation

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