Decisior implementation in neural model selection by multi-objective optimization

摘要

The classification and regression MOBJ solutions are compared with Weight decay, Optimal Brain Damage, Early Stopping, 10-Fold Cross-Validation, Support Vector Machines and Backpropagation. It is concluded that the proposed method is able to generate high generalization solutions and its operation is simple and efficient.