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JCIT
2010

Traffic Prediction Based on Improved Neural Network

8 years 5 months ago
Traffic Prediction Based on Improved Neural Network
Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the artificial neural networks and genetic algorithms. The artificial neural networks and genetic algorithms to be combine in the prediction model. This method is used to predict traffic volume in a road, the accuracy of forecasting results improved significantly. Therefore, this simulation method in traffic prediction have a good prospect.
Jian-ming Cui
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JCIT
Authors Jian-ming Cui
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