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In this paper, the hybrid support vector machines (SVM) and Gaussian process (GPs) are proposed to modeling of mitogen-activated protein kinases systems with noise. In the proposed approach, there are two-stage strategies. In stage 1, the support vector machine regression (SVMR) approach is used to filter out the some larger data set in the mitogen-activated protein kinases systems data set with noise...
In this study, the hybrid support vector machines for regression (HSVMR) is proposed to deal with training data set with outliers for fuzzy neural networks (FNNs). There are two-stage strategies in the proposed approach. In the stage I, called as data preprocessing, the support vector machines for regression (SVMR) approach is used to filter out the outliers in the training data set. Due to the outliers...
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