| 神经网络自适应学习研究 |
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| 引用本文： | 雷鸣,尹申明,杨叔子. 神经网络自适应学习研究[J]. 系统工程与电子技术, 1994, 0(3) |
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| 作者姓名： | 雷鸣 尹申明 杨叔子 |
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| 作者单位： | 华中理工大学机械工程一系!武汉430074 |
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| 摘 要： | 本文讨论了网络拓扑结构、网络的学习参数以及神经元的激活函数等多方面的人工神经网络学习问题，提出了具体实现方法。实验表明这些方法对于加快网络的收敛速度，优化网络的拓扑结构等方面有显著成效。
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| 关 键 词： | 自适应系统 人工智能 学习理论 神经元件 拓扑网络 算法 |
The Learning Algorithm Study of Adaptive Neural Network |
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| Lei Ming, Yin Shenming, Yang Shun. The Learning Algorithm Study of Adaptive Neural Network[J]. System Engineering and Electronics, 1994, 0(3) |
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| Authors: | Lei Ming Yin Shenming Yang Shun |
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| Abstract: | In this paper, the learning of artificial neural network is studied in several different aspects such as connection weight, network architecture, learning parameters and active function of unit. Some adaptive algorithms have been proposed for the back propagation learning (BP) which is well known in the artificial neural network literature. The experiments show that they have good effect on increasing convergence in speed and the network architecture learning. |
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| Keywords: | Artificial neural network Self-configuring algorithm Topology architecture Active function of unit. |
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