Quantum Neural Network and Its Application in Vehicle Classification
Shicai Yu, Ning Ma · 2008
Focusing on increase the capability of currency in the traffic net and decrease the possibility of loss on charge, in this paper, a novel method of vehicle classification by using quantum neural network (QNN) is proposed. A model of quantum neural network is proposed and its property is analyzed. The simulations show the proposed method can greatly reduce the training times also have enough accuracy. The method has efficiently trained the samples aggregate composed of some kinds of vehicle types, and completed the classification of vehicle.