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- W2359943119 abstract "A new method was proposed for traffic incidents detection based on Boosting RBF neural network.The improved Boosting adopted a new method to acquire parameters,and the weighted parameters of weak classifiers were determined not only by the error rates,but also by their abilities to recognize the positive samples.The features of flow and occupancy rate were extracted from traffic incidents.Then RBF neural network was used to classify the traffic incidents.In order to improve the precision of the RBF neural network for traffic incidents detection,Boosting algorithm was used to build an integration-neural network.Finally a simulation using Matlab was carried out,and the results show that this algorithm can detect incidents rapidly by using a few samples." @default.
- W2359943119 created "2016-06-24" @default.
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- W2359943119 date "2007-01-01" @default.
- W2359943119 modified "2023-09-23" @default.
- W2359943119 title "Traffic incidents detection based on Boosting method and RBF neural network" @default.
- W2359943119 hasPublicationYear "2007" @default.
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