| 模糊神经网络两相流流型辨识算法的研究 |
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| 引用本文： | 夏靖波,杨晓铁,王师.模糊神经网络两相流流型辨识算法的研究[J].控制与决策,1999(Z1). |
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| 作者姓名： | 夏靖波 杨晓铁 王师 |
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| 作者单位： | 东北大学信息科学与工程学院!沈阳110005(夏靖波)，空军电讯工程学院(杨晓铁)，东北大学(王师) |
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| 基金项目： | 辽宁省科委国际合作项目资助 |
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| 摘 要： | 针对电容测量灵敏度分布易受被测两相流介质分布的影响，对由电容传感器阵列采集的反映两相流介质分布的信息进行模糊处理，经Ｋｏｈｏｎｅｎ 网络的自组织学习，提取输入模式样本的分类特征，通过ＢＰ网络的监督学习，可实现两相流流型的有效判别和分类
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| 关 键 词： | 两相流 神经网络 模糊逻辑 流型辨识 |
Flow Pattern Identification Based on Fuzzy Neural Network in Two Phase Flow |
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| Xia Jingbo.Flow Pattern Identification Based on Fuzzy Neural Network in Two Phase Flow[J].Control and Decision,1999(Z1). |
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| Authors: | Xia Jingbo |
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| Affiliation: | Xia Jingbo(Northeastern University)\ Yang Xiaotie(Air Force Telecommunication Engineering Institute)\ Wang Shi(Northeastern University) |
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| Abstract: | Considering sensitivity distribution being influenced by two-phase flow inhomogeneity in capacitance tomography system. Projection information which reflect flow distribution are processed with fuzzy method. Through self-organizing learning of Kohonen network, the classified characteristic of input pattern examples can be picked up. By supervision learning of BP neural network, the proposed algorithm has been verified in the experimental device. Different flow patterns can be distinguished effectively. It show that the method proposed here is feasible. |
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| Keywords: | two phase flow neural network fuzzy logic flow pattern identification |
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