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Forecast method for used number of parts and components based on complex network

✍ Scribed by Liu, Fu-yun ;Qi, Guo-ning ;Yang, Qing-hai

Book ID
107378185
Publisher
Higher Education Press and Springer
Year
2006
Tongue
English
Weight
338 KB
Volume
1
Category
Article
ISSN
1673-3479

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✍ Xiao-li ZHANG; Guo-guang HE πŸ“‚ Article πŸ“… 2007 πŸ› Elsevier βš– 449 KB

A combination approach based on Principal Component Analysis (PCA) and Combined Neural Network (CNN) is presented for short-term traffic flow forecasting. The historical data of the forecasted traffic volume and interrelated volumes have been processed by PCA. The results of PCA form the input data