A selective GMDH network ensemble algorithm
一种选择性GMDH网络集成算法

A selective GMDH network ensemble algorithm was presented. With the punitive classification of the samples for training GMDH network individuals, a group of candidate GMDH networks were developed which were different from each other. Genetic algorithm was then used to evolve the best subset of the candidates to form the ensemble. Experiments show that compared to all-candidates GMDH ensemble and GMDH network individuals as well as the traditional BP neural network ensemble, selective GMDH network ensemble imoroves the performance greatly.