%0 Journal Article %A YAO Shihong %A WANG Tao %A JIA Zhenhong %A QIN Xizhong %A CHANG Chun %A WANG Hao %T Algorithm of microcanonical—SVM based for forecasting traffic load %D 2012 %R %J Computer Engineering and Applications %P 105-106 %V 48 %N 3 %X Basing on the speciality of traffic load in the paper, a traffic load forecasting model based on microcanonical annealing—Support Vector Machines(SVM) is proposed. Appropriate parameters are very crucial to SVM forecasting ability, the optimal parameters selection is achieved by random walks of demons in the state space of Microcanonical Annealing(MA) algorithm. The verification on the model with real traffic data shows that, this algorithm will offer better results with higher probability to hit the global optimum than Simulated Annealing(SA) algorithm, objective function value is also decreased faster, and has high precision. %U http://cea.ceaj.org/EN/abstract/article_27916.shtml