Hybridizing GMDH and least squares SVM support vector machine for forecasting tourism demand
In this paper, we proposed a novel hybrid group method of data handling least squares support vector machine (GLSSVM) algorithm, which combines the theory a group method of data handling (GMDH) with the least squares support vector machine (LSSVM). With the GMDH is used to determine the inputs of LS...
Saved in:
Main Authors: | Samsudin, Ruhaidah, Saad, Puteh, Shabri, Ani |
---|---|
Format: | Article |
Language: | English |
Published: |
Academic Research Publishing Agency
2010
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/37838/2/IJRRAS_3_3_06.pdf http://eprints.utm.my/id/eprint/37838/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid GMDH and least squares support vector machines in time series forecasting
by: Samsudin, Ruhaidah, et al.
Published: (2011) -
A hybrid least squares support vector machines and GMDH approach for river flow forecasting
by: Samsudin, Ruhaidah, et al.
Published: (2010) -
River flow time series using least squares support vector machines
by: Samsudin, Ruhaidah, et al.
Published: (2011) -
Empirical mode decomposition-least squares support vector machine based for water demand forecasting
by: Shabri, Ani, et al.
Published: (2015) -
River flow forecasting: a hybrid model of self organizing maps and least square support vector machine
by: Ismail, S., et al.
Published: (2010)