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Traffic prediction using neural networks
Edmund S. Yu,
C. Y.Roger Chen
Department of Electrical Engineering & Computer Science
Research output
:
Chapter in Book/Entry/Poem
›
Conference contribution
61
Scopus citations
Overview
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Dive into the research topics of 'Traffic prediction using neural networks'. Together they form a unique fingerprint.
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Keyphrases
Traffic Prediction
100%
Box-Jenkins
50%
Neural Network Prediction
25%
Linear Regularity
25%
Traditional Regression
25%
Congestion Control
25%
Bursty
25%
Neural Network Performance
25%
Nonlinear Regularity
25%
ARIMA Model
25%
Stochastic Component
25%
Traffic Prediction Model
25%
Computer Science
Traffic Prediction
100%
Neural Network Approach
60%
Prediction Performance
40%
Congestion Control
20%
Integrated Services Digital Network
20%
Chemical Engineering
Neural Network
100%
Backpropagation
16%
Feedforward Neural Network
16%
Engineering
Prediction Performance
66%
Congestion Control
33%