Probabilistic SVM classifier ensemble selection based on GMDH-type neural network.

•We propose a standardized symmetric regularity criterion.•We define a novel structure of initial model of GMDH.•We use probabilistic SVM as base learner and integrate the SVM with GMDH.•We design a special classifier ensemble selection approach named GMDH-PSVM.•Our method may obtain good classification results.