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一种基于模糊聚类的组合BP网络挖掘方法 被引量:2

An Algorithm of Combined BP Network Mining Based on Fuzzy Clustering
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摘要 介绍了一种基于模糊聚类的组合BP神经网络的数据挖掘方法,并给出了该方法的模型和启发式BP改进算法Heuristicbp,且将其应用于数学函数值预测中,取得了学习时间短和预测精度高的效果,实验证明该方法是有效的,具有较高的实用性。 This paper introduces an algorithm of combined BP neural network data mining based on fuzzy clustering, and produces the combined BP neural network model and improved Heuristicbp algorithm ,then puts this algorithm into mathematical function-value prediction,and gets the purpose of short training-time and high predicting-precision.So this algorithm is effective and highly practical application.
出处 《计算机工程与应用》 CSCD 北大核心 2005年第36期83-85,共3页 Computer Engineering and Applications
基金 江西省教育厅资助项目(编号:DB200406011) 江西省测控中心资助项目(编号:ZX200328002)
关键词 模糊聚类 组合BP神经网络 Heuristicbp算法 分类 预测 fuzzy clustering,combined BP neural network, Heuristicbp algorithm,classification,prediction
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参考文献4

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