๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Some Empirical Findings on Short-Term Forecasting: Technique Complexity and Combinations

โœ Scribed by Nada R. Sanders; Larry P. Ritzman

Book ID
109167200
Publisher
Decision Sciences Institute, Georgia State University
Year
1989
Tongue
English
Weight
353 KB
Volume
20
Category
Article
ISSN
0011-7315

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โœ Xiao-li ZHANG; Guo-guang HE ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier โš– 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