Fuzzy Neural Network Model Applied in the Traffic Flow Prediction

The paper proposes a fuzzy neural network model (FNNM) strategy for predicting the traffic flow of real time traffic control systems. The proposed model is composed of two modular. One is a fuzzy network (FN), which is used for fuzzy clustering. Each cluster represents one kind of specific traffic p...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Gang Tong, Chunling Fan, Fengying Cui, Xiangzhong Meng
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Communication system traffic control Fuzzy control Fuzzy neural network model Fuzzy neural networks Neural networks Partitioning algorithms Prediction Prediction algorithms Predictive models Real time systems Telecommunication traffic Traffic control Traffic flow
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