| 基于BP算法的加权模糊Petri网权值学习算法 |
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| 引用本文： | 吴荣海,范晓梅.基于BP算法的加权模糊Petri网权值学习算法[J].微型机与应用,2012,31(13):68-69,72. |
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| 作者姓名： | 吴荣海 范晓梅 |
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| 作者单位： | 大理学院数学与计算机学院,云南大理,671003 |
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| 摘 要： | 加权模糊Petri网缺乏较强的自学习能力,针对这个问题,给出了一个基于BP算法的加权模糊Petri网权值学习算法。该算法不需要对原有模型进行修改,使得加权模糊Petri网权值的学习和训练得到一定地简化。
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| 关 键 词： | WFPN 产生式规则 BP算法 权值学习 |
Weight learning algorithm of weighted fuzzy Petri net based on BP algorithm |
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| Wu Ronghai,Fan Xiaomei.Weight learning algorithm of weighted fuzzy Petri net based on BP algorithm[J].Microcomputer & its Applications,2012,31(13):68-69,72. |
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| Authors: | Wu Ronghai Fan Xiaomei |
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| Affiliation: | (School of Mathematics and Computer Sciences,Dali University,Dali 671003,China) |
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| Abstract: | Weighted Fuzzy Petri Nets(WFPN) lack strong self-learning abilities, to address the issue, a weighted learning algorithm of WFPN based on BP algorithm is presented. According to the algorithm, without modifying the original WFPN model, simplify the process of learning and training of WFPN. |
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| Keywords: | Weighted Fuzzy Petri Net(WFPN) production rule BP(Baek Propagation) algorithm weight learuing |
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