| 基于模糊神经元网络的信息融合模型 |
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| 引用本文： | 刘晓悦,封素敏.基于模糊神经元网络的信息融合模型[J].河北理工学院学报,2008(3). |
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| 作者姓名： | 刘晓悦 封素敏 |
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| 作者单位： | 河北理工大学计算机与自动控制学院; |
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| 基金项目： | 国家自然科学资助项目“煤矿井下电磁兼容性基础研究”(50674093) |
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| 摘 要： | 神经元网络应用于一般工业过程建模比较有效,但对于对象是庞大数据的复杂的工业生产过程就明显力不从心,提出了基于势场拓扑的层次聚类算法和模糊c均值聚类算法融合,以获得精确的聚类个数和隶属度,基于多判据信息融合和模糊技术构建神经元网络模型,通过对实际地下开采生产过程的仿真,结果验证了模型的有效性。
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| 关 键 词： | 层次聚类 模糊c均值聚类 模糊神经元网络 信息融合 |
Research of Predict Technology Based on Neural Network and Information Fusion |
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| LIU Xiao-yue FENG Su-min.Research of Predict Technology Based on Neural Network and Information Fusion[J].Journal of Hebei Institute of Technology,2008(3). |
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| Authors: | LIU Xiao-yue FENG Su-min |
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| Institution: | LIU Xiao-yue FENG Su-min (College of Computer , Automatic Control,Hebei Polytechnic University,Tangshan Hebei 063009,China) |
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| Abstract: | Apply the neural network in the general industry model is effective.However,meural network's strength does not match the huge data complex industrial production process's ambitions.Propose fusion algorithm that based on the topology of the Potential Field algorithm and fuzzy c mean algorithm,obtain the precise clustered num- ber and the membership degree.Construct the neural network model based on multi-criterion information fusion and the fuzzy technology,through the actual simulation on coal mining produc... |
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| Keywords: | the potential field algorithm Fuzzy cmean algorithm Fuzzy neural network information fusion |
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