Hybrid least squares support vector machines for short term predictive analysis
Moth-flame Optimization (MFO) algorithm is a relatively new optimization algorithm which is classified as Swarm Intelligence (SI). It is inspired by unique behavior of moths in nature. Despite its young age, this algorithm has been proven to be able to address many optimization problems. With respec...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/17656/ http://umpir.ump.edu.my/id/eprint/17656/ 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%201.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/17656/http://umpir.ump.edu.my/id/eprint/17656/
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%201.pdf