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A two-stage “scoring fusion” RBFN-based ANN classification scheme, whereby the final classification score is derived by optimally fusing the prediction scores produced by 3 ANNs trained using bilateral asymmetrical features, mean features, and the maximum features, respectively. In the ANNs, the circles and black dots represent artificial neurons analogous to human neural units, the connecting lines represent links between adjacent artificial neurons analogous to neural axons.
