Neural network ensembles
Lars Kai HansenDepartment of Mathematical Sciences, San Diego State University, San Diego, CA, USAPeter SalamonDepartment of Mathematical Sciences, San Diego State University, San Diego, CA, USA
1990en
ABI
Аннотация
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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