๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Traffic Flow Forecasting Based on Combination of Multidimensional Scaling and SVM

โœ Scribed by Sun, Zhanquan; Fox, Geoffrey

Book ID
121572623
Publisher
Springer-Verlag
Year
2013
Tongue
English
Weight
277 KB
Volume
12
Category
Article
ISSN
1348-8503

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Forecasting Approach for Short-term Traf
Forecasting Approach for Short-term Traffic Flow based on Principal Component Analysis and Combined Neural Network
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

A classification of coping behavior base
A classification of coping behavior based on multidimensional scaling of similarity ratings
โœ Mary T. Westbrook ๐Ÿ“‚ Article ๐Ÿ“… 1979 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 317 KB ๐Ÿ‘ 2 views

Developed a classification of coping behavior based on people's cognition of the domain by multidimensional scaling of 87 8s' similarity ratings of 30 coping strategies. There were five dimensions: Confrontation vs. Avoidance, Optimism vs. Realism, Seeking vs. Not Seeking Interpersonal Help, Fatalis