| 基于知识的模糊多层感知器 |
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| 引用本文： | 史慧敏,张帆,孙即祥.基于知识的模糊多层感知器[J].计算机工程与应用,2003,39(1):99-102. |
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| 作者姓名： | 史慧敏 张帆 孙即祥 |
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| 作者单位： | 国防科技大学电子科学与工程学院,长沙,410073 |
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| 摘 要： | 通过与标准模糊多层感知器的对比文章描述了基于知识的模糊多层感知器的具体结构,讲述了如何利用先验知识对连接权进行初始化以及如何从已经过训练的网络中抽取推理规则,文章最后指出这种网络在训练效率和识别性能上优于标准模糊多层感知器。
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| 关 键 词： | 模糊化 多层感知器 规则抽取 |
| 文章编号： | 1002-8331-(2003)01-0099-04 |
Knowledge-based Fuzzy Multilayer Perceptron |
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| Shi,Huimin Zhang Fan Sun Jixiang.Knowledge-based Fuzzy Multilayer Perceptron[J].Computer Engineering and Applications,2003,39(1):99-102. |
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| Authors: | Shi Huimin Zhang Fan Sun Jixiang |
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| Abstract: | This paper depicts the concrete structure of knowledge-based fuzzy multilayer perceptron by constracting with the standard fuzzy multilayer perceptron.It also describes how to initialize the connection weights between nodes according to prior knowledge and how to extract inference rules from the trained network.At the end,it points out that this network has the capability of outperforming the standard fuzzy multilayer perceptron in training efficiency and recognising ability. |
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| Keywords: | fuzzification multilayer perceptron rules extracting |
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