Neural Network Ensembles

LK HANSEN,P SALAMON

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)（1990）CCF ASCI 1区

SAN DIEGO STATE UNIV

被引用6377|浏览20

摘要

Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual generalization error can be reduced by invoking ensembles of similar networks. >

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关键词

Neural networks,Databases,Fault tolerance,Supervised learning,Pattern recognition,Computer architecture,Neurons,Data mining,Feedforward systems,Performance analysis