| 基于神经元的动态系统模糊关系模型及其学习算法 |
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| 引用本文： | 陈英武,谭跃进,汪浩.基于神经元的动态系统模糊关系模型及其学习算法[J].国防科技大学学报,1997,19(4):66-71. |
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| 作者姓名： | 陈英武 谭跃进 汪浩 |
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| 作者单位： | 国防科技大学系统工程与数学系 |
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| 基金项目： | 图防科技预研基金,国防科技大学青年基金 |
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| 摘 要： | 本文直接针对模糊集，提出了三种基于模糊集运算的逻辑神经元，即ＡＮＤ．ＯＲ和ＡＮＤ／ＤＲ．基于上述神经元，提出了一种应用于动态系统建模的实用的模糊关系网络模型，通过一个简单实例，证实了上述模型建模算法的学习能力和快速计算能力。
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| 关 键 词： | 模糊神经元，动态系统，建模 |
| 收稿时间： | 1996/9/16 0:00:00 |
A Neuron-Inspired Fuzzy Relation Model of Dynamic System And Its Learning Algorithms |
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| Chen Yingwu,Tang Yuejin and Wang Hao.A Neuron-Inspired Fuzzy Relation Model of Dynamic System And Its Learning Algorithms[J].Journal of National University of Defense Technology,1997,19(4):66-71. |
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| Authors: | Chen Yingwu Tang Yuejin and Wang Hao |
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| Institution: | Department of Systems Engineering and Methematics National University of Defense Technology, Changsha, Hunan, 410073;Department of Systems Engineering and Methematics National University of Defense Technology, Changsha, Hunan, 410073;Department of Systems Engineering and Methematics National University of Defense Technology, Changsha, Hunan, 410073 |
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| Abstract: | In view of fuzzy sets and their operations, three kinds of logical neurons, i, e. , AND, OR and AND/OR neurons can be chassified into two types: weighted and relational. Using AND, OR and AND/OR neurons, a fuzzy relational model for dynamic system modeling is provided as well as its learning algorithms. By a simple example, the soundness and learning capability of the algorithms are verified. |
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| Keywords: | Fuzzy Neurons Dynamic System Learning Algorithm Modeling |
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