LS-SVM-based modeling for evaluating equipment support concept

Aiming at evaluating the equipment support concept, this paper leads into a new method based on Least squares support vector machines (LS-SVMs). Training samples is obtained by quantifying evaluating parameters. Then the testing data as the input of the trained network is introduced to objectively evaluate the whole effect of the equipment support concept. The simulation results indicate that Least squares support vector machines owns nonlinear mapping capacity and well behaved generalization, and this method can evaluate the equipment support concept efficiently.