A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting

• Main Authors: Ismail, Shuhaida, Shabri, Ani, Samsudin, Ruhaidah
• Format: Article
• Published: Elsevier Ltd. 2011
• Subjects: Q Science
• Online Access: http://eprints.utm.my/id/eprint/28591/; http://dx.doi.org/10.1016/j.eswa.2011.02.107
• Institution: Universiti Teknologi Malaysia

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...