A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting
Support vector machine is a new tool from Artificial Intelligence (AI) field has been successfully applied for a wide variety of problem especially in time-series forecasting. In this paper, least square support vector machine (LSSVM) is an improved algorithm based on SVM, with the combination of se...
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Main Authors: | , , |
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Format: | Article |
Published: |
Elsevier Ltd.
2011
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/28591/ http://dx.doi.org/10.1016/j.eswa.2011.02.107 |
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Institution: | Universiti Teknologi Malaysia |
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