哈尔滨工程大学学报2012，Vol.33Issue(6)：741-744,4.DOI:10.3969/j.issn.1006-7043.201105066
竞争型径向基过程神经网络时序分类器
A time series classifier based on a competitive radial basis process neural network
摘要
Abstract
In considering the time series classification problem, a time series classifier was presented based on a competitive radial basis process neural network. The definition of the compound competition process neuron unit was given. The compound competition process neuron hidden layer was added to the network. Making use of the characteristics of the time-varied input (unction, pattern matching and temporal aggregation operation of time-varied input information were a-chieved by competition process neuron units. The learning algorithm was given. The calculation of linear connection weight in the output layer'were omitted, and the network structure and training process were simplified. The algorithm improves the network generalization ability. Finally, the effectiveness of the classifier was proven by a multivariable time series classification problem in the UCI data set.关键词
时序分类器/竞争型神经网络/径向基/时空聚合运算/过程神经网络Key words
time series classifier/ competitive neural network/ radial basis neural network/ temporal aggregation operation/ process neural network分类
数理科学引用本文复制引用
葛利,印桂生..竞争型径向基过程神经网络时序分类器[J].哈尔滨工程大学学报,2012,33(6):741-744,4.基金项目
黑龙江省科技攻关计划资助项目(GC05A118) （GC05A118）
哈尔滨市科技创新人才研究专项基金资助项目(2008RFQXG072). （2008RFQXG072）
