Abstract:

Aiming at the pattern recognition of traffic flows in elevator group control systems,a method based on the multi-value classification SVM (Support Vector Machine)is put forward.Moreover,the design procedure of the pattern recognition is presented and the corresponding pattern classifier is established.The results demonstrate that,by using the proposed method,different traffic flow modes can be recognized accurately.Furthermore,it is proved by comparison experiments that the proposed method possesses powerful generalization ability and is of greater re-cognition veracity than the methods based on the neural networks.

Key words: support vector machine, elevator group control system, traffic flow, pattern recognition