GA based LS-SVM classifier for waste water treatment process

Least squares support vector machine (LS-SVM) combined with genetic algorithm (GA) are presented in this paper and this new algorithm can be a classifier in wastewater treatment process. The LS-SVM can overcome some shortcoming in the multilayer perception; meantime the GA can be used to tune the parameters of LS-SVM automatically and can escape from the blindness of man-made choice of the parameters of LS-SVM. The numerical experiments for classifying the operational state of the wastewater treatment process show that the proposed algorithm is effective and has less prediction error.