Hybrid least squares support vector machines for short term predictive analysis

• Main Authors: Zuriani, Mustaffa, Ernawan, Ferda, M. H., Sulaiman, Syafiq Fauzi, Kamarulzaman
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2017
• Subjects: QA76 Computer software; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/17656/1/Hybrid%20Least%20Squares%20Support%20Vector%20Machines%20for%20Short%20Term%20Predictive%20Analysis.pdf; http://umpir.ump.edu.my/id/eprint/17656/7/Hybrid%20least%20squares%20support%20vector%20machines%20for%20short%20term%20predictive%20analysis.pdf; http://umpir.ump.edu.my/id/eprint/17656/; https://doi.org/10.1109/ICCAR.2017.7942762

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