| 基于结构动态可塑原理实现的神经网络感知器 |
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| 引用本文： | 温鹏,陈锦江,瞿坦,孙德保.基于结构动态可塑原理实现的神经网络感知器[J].华中科技大学学报(自然科学版),1993(3). |
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| 作者姓名： | 温鹏 陈锦江 瞿坦 孙德保 |
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| 作者单位： | 华中理工大学自动控制工程系
(温鹏，陈锦江，瞿坦)，华中理工大学自动控制工程系(孙德保) |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 分析了人工神经网络感知器的基本性质,提出了一种新的硬件实现方法——结构动态可塑原理,即通过网络中连接路径的转换,间接实现权值系数的变化,达到学习的目的.并用一个逻辑功能感知器给出了具体的实现方法,证明该结论可推广到一般情况.
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| 关 键 词： | 神经网络感知器 感知器实现方法 结构动态可塑 自学习 自组织 |
Realization of the Perceptron with a Neural Network on the Principle of Dynamic Plasticity of a Structure |
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| Wen Peng Chen Jinjiang Qu Tan Sun Debao.Realization of the Perceptron with a Neural Network on the Principle of Dynamic Plasticity of a Structure[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1993(3). |
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| Authors: | Wen Peng Chen Jinjiang Qu Tan Sun Debao |
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| Institution: | Wen Peng Chen Jinjiang Qu Tan Sun Debao |
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| Abstract: | The self-learning and self-tuning functions of the artificial neural network perceptron are realized by means of the dynamic change of weights. It is very easy to deal with the methematical aspect and simulation of weights, but it is difficult to realize the change in practice. This paper presents a realizing method on the principle of dynamic plasticity of a structure, that is, through the dynamic change of routes in the network to indirectly realize the change of weighting value. An example of a logic perceptron is given to show the method details. |
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| Keywords: | perceptron realization of perceptron dynamic plasticity of structure self-learning self-tuning |
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