| 引用本文: | 乔俊飞,王会东.模糊神经网络的结构自组织算法及应用[J].控制理论与应用,2008,25(4):703~707.[点击复制] |
| QIAO Jun-fei,WANG Hui-dong.Structure self-organizing algorithm for fuzzy neural networks and its applications[J].Control Theory and Technology,2008,25(4):703~707.[点击复制] |
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| 模糊神经网络的结构自组织算法及应用 |
| Structure self-organizing algorithm for fuzzy neural networks and its applications |
| 摘要点击 2112 全文点击 3986 投稿时间：2006-06-11 修订日期：2007-06-26 |
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| DOI编号 10.7641/j.issn.1000-8152.2008.4.021 |
| 2008,25(4):703-707 |
| 中文关键词 自组织 模糊神经网络 预测模型 污水处理 |
| 英文关键词 self-organizing fuzzy neural networks forecast model wastewater treatment |
| 基金项目 国家自然科学基金资助项目(60304012, 60674066); 北京市优秀人才培养项目(2006D0501500203); 国家863计划项目(2007AA04Z160). |
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| 中文摘要 |
| 提出了一种新的模糊神经网络自组织算法, 该算法能够基于输入输出数据自动进行结构辨识和参数辨识.首先采用一种自组织聚类方法建立起网络的结构和各参数的初值, 然后采用监督学习来优化网络参数. 通过对非线性函数逼近的分析, 证明了该自组织算法的有效性, 并与其他算法作了比较. 最后, 以某污水处理厂的实际运行数据为对象, 应用该模糊神经网络建立了活性污泥系统出水水质预测模型, 仿真结果表明, 该模型能够对污水处理系统出水水质进行较好的预测. |
| 英文摘要 |
| A new self-organizing algorithm for fuzzy neural networks is proposed, which automates the structure and parameter identification simultaneously based on input-target samples. Firstly, a self-organizing clustering method is used to establish the network structure and the initial values of its parameters. Then a supervised learning is applied to optimize
these parameters. An example of nonlinear function approximation is given to demonstrate the effectiveness of the algorithm, where some comparisons are made with other approaches. Finally, based on the data of a wastewater treatment plant, a forecast model of the output-water quality is developed using the established fuzzy neural networks. Simulation results show that the output-water quality can be well predicted by the model. |
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