| 基于局部泛化误差模型的RBFNN的启发式训练方法 |
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| 引用本文： | 周静.基于局部泛化误差模型的RBFNN的启发式训练方法[J].保定师专学报,2008(4):20-23. |
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| 作者姓名： | 周静 |
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| 作者单位： | 河北大学数学与计算机学院;河北农业大学理学院; |
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| 基金项目： | 河北农业大学非生命学科与新兴学科科研发展基金(FSY200739) |
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| 摘 要： | 研究如何应用吴永贤（W.W.Y.NG）提出的局部泛化误差模型来训练径向基函数神经网络（RBFNN）,给出了一种训练RBFNN的启发式训练方法.实验表明,该方法成功解决了模型结果计算时间复杂度问题,同时RBFNN的训练精度也达到令人满意的结果.
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| 关 键 词： | 局部泛化误差模型 RBFNN 启发式算法 |
A Greedy Algorithm of RBFNN Based on Localized Generalization Error Model |
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| ZHOU Jing.A Greedy Algorithm of RBFNN Based on Localized Generalization Error Model[J].Journal of Baoding Teachers College,2008(4):20-23. |
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| Authors: | ZHOU Jing |
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| Institution: | ZHOU Jing(College of Mathematics , Computer,Hebei University,Baoding 071002,China,College of Science,Agricultural University of Hebei,Baoding 071001,China) |
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| Abstract: | This paper researches how to use the result of the localized generalization error model(LGEM) proposed by Doctor W.W.Y.NG to train RBFNN,and then proposes a greedy algorithm for training RBFNN based on LGEM.Experiment show that the greedy method solutions the problem of computation complexity of LGEM and the training accuracy has obtained good effect. |
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| Keywords: | localized generalization error model RBFNN greedy algorithm |
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