| 基于化工过程预报的模糊聚类神经网络系统 |
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| 引用本文： | 张宏烈,刘彦忠,刘艳菊.基于化工过程预报的模糊聚类神经网络系统[J].黑龙江科技学院学报,2005,15(4):215-216,245. |
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| 作者姓名： | 张宏烈 刘彦忠 刘艳菊 |
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| 作者单位： | 齐齐哈尔大学,计算机与控制学院,黑龙江,齐齐哈尔,161006 |
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| 基金项目： | 齐齐哈尔市科学技术计划项目（04G17） |
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| 摘 要： | 为了解决化工预报过程中的复杂问题，利用神经网络、模糊系统和演化算法等智能控制理论，提出了模糊聚类神经网络系统模型（FCNNS）。该模型的特点是利用模糊聚类算法提取典型数据，然后将典型数据送入神经网络系统进行学习产生模糊规则。该模型缩短了规则生成的时间，有效地防止了规则数爆炸，并在化工过程预报的应用中获得理想效果。
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| 关 键 词： | 模糊神经网络 模糊聚类 数据筛选 模糊规则 |
| 文章编号： | 1671-0118（2005）04-0215-02 |
| 收稿时间： | 2004-12-20 |
| 修稿时间： | 2004-12-20 |
Fuzzy clustering neural network system based on forecast of chemical process |
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| ZHANG Honglie,LIU Yanzhong,Liu Yanju.Fuzzy clustering neural network system based on forecast of chemical process[J].Journal of Heilongjiang Institute of Science and Technology,2005,15(4):215-216,245. |
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| Authors: | ZHANG Honglie LIU Yanzhong Liu Yanju |
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| Institution: | Computer and Control Department, Qiqihar University, Qiqihar 161006, China |
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| Abstract: | Directed at eliminating the complicated problems in forecast of chemical process, this paper proposes fuzzy clustering neural network system model, depending on intelligence control theories, such as neural network, fuzzy system, and evolution algorithm, etc. The model is distinguished by bolting typical datum from source datum by the fuzzy clustering algorithm and then putting them into fuzzy system for study and rules formulation. The model not only reduces the time required for producing rules and avoids the explosion of the number of rule efficiently, but also offers a better forecast of chemical process. |
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| Keywords: | fuzzy neural network fuzzy clusting data bolting fuzzy rule |
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