Research on a Opimal Algorithm for the Prediction of Wear Loss
一种磨损预测的优化算法研究

Because the wear loss is complicated and difficult to measure,a method of parameter optimized least square support vector machine is introduced to predict wear loss.The optimized algorithm is immunity-particle swarm which could avoide getting into local best place.The optimized model of wear loss was proposed.The training and measuring data set was obtained from an experiment about wear loss.The prediction results of the optimized LS-SVM and neural network,ant colony optimization,genetic algorithm were comp...