| 自组织逼近神经网络模型及其应用 |
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| 引用本文： | 王文英,许文忠,李红.自组织逼近神经网络模型及其应用[J].哈尔滨商业大学学报(自然科学版),1998(4). |
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| 作者姓名： | 王文英 许文忠 李红 |
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| 作者单位： | 哈尔滨市建筑设计院(王文英)，哈尔滨汽轮机厂(许文忠)，辽河油田钻采院(李红) |
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| 摘 要： | 针对动态范围较大的多峰函数逼近问题，提出了一种自组织逼近神经网络模型。仿真实例表明：这种模型对动态范围较大的多峰函数逼近问题较经典的BP模型优越得多，为解决复杂函数逼近问题提供了一条有效的途径。
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| 关 键 词： | 神经网络 径向基函数 ART2模型 函数逼近 |
A KIND OF APPROXIMATION NEURAL NETWORK MODEL BASED ON SELF-ORGANIZATION CLUSTERING AND ITS APPLICATION |
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| Wang Wenying,Xu Wenzhong,Li Hong.A KIND OF APPROXIMATION NEURAL NETWORK MODEL BASED ON SELF-ORGANIZATION CLUSTERING AND ITS APPLICATION[J].Journal of Harbin University of Commerce :Natural Sciences Edition,1998(4). |
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| Authors: | Wang Wenying Xu Wenzhong Li Hong |
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| Institution: | Wang Wenying;Xu Wenzhong;Li Hong (Harbin Architectural Designing Institute )(Marbin Stean Turbine Factory )(Drilling and Producting Institute of Liaohe Oilfield ) |
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| Abstract: | In this paper, a kind of approximation neural network model for multi-peak functions with large dynamic scope of function value was proposed. The simulation example showed that the model outperformed to solve the multi-peak function approximation problem over the convention BP model and supplied an efficient tool for the complicated functions approximation problems. |
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| Keywords: | neural networks radial basis function self-organization clustering function approximation |
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