A forecasting model based support vector machine and particle swarm optimization

Proceedings - 2008 Workshop on Power Electronics and Intelligent Transportation System, PEITS 2008

Volumn , Issue , 2008, Pages 218-222

  Wu, Qi ^a   Yan, Hong Sen ^a   Yang, Hong Bing ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE ELECTRONIC EQUIPMENT; ELECTRIC LOAD FORECASTING; FORECASTING; IMAGE RETRIEVAL; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LEARNING SYSTEMS; NORMAL DISTRIBUTION; PARTICLE SWARM OPTIMIZATION (PSO); POWER ELECTRONICS; TECHNICAL PRESENTATIONS; VECTORS; VEHICLE LOCATING SYSTEMS;

FORECASTING METHODS; FORECASTING MODELS; GAUSSIAN; HYBRID FORECASTING; LOSS FUNCTIONS; PARTICLE SWARMS; PRODUCT SALES; SUPPORT VECTORS;

SUPPORT VECTOR MACHINES;

EID: 56449110386     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PEITS.2008.37     Document Type: Conference Paper

References (8)

1. J. Sun, G..S. Hong, M. Rahman, and Y.S. Wong, "The application of nonstandard support vector machine in tool condition monitoring system", Electronic Design, Test and Applications, 2004. DELTA 2004. Second IEEE International Workshop, 2004, pp. 295 - 300.
2. H.S. Yan, and D. Xu, "An approach to estimating product design time based on fuzzy ν-support vector machine", IEEE Transactions on Neural Networks, 2007, 18(3), pp. 721-731.
3. H. Aytug, and S. Sayin, "Using support vector machines to learn the efficient set in multiple objective discrete optimization", European Journal of Operational Research, In Press, Corrected Proof, Available online, 2007.
4. J. Kenedy, and R. Eberheart, "Particle swarm optimization", Proceedings of the IEEE International Conference on Neural Networks, 1995, pp. 1942-1948.
5. S.K.S. Fan, and E. Zahara, "A hybrid simplex search and particle swarm optimization for unconstrained optimization", European Journal of Operational Research, 2007, 181(2), 527-548.
6. M.F. Tasgetiren, Y.C. Liang, M. Sevkli, and G. Gencyilmaz, "A particle swarm optimization algorithm for make span and total flow time minimization in the permutation flowshop sequencing problem", European Journal of Operational Research, 2007, 177(3), pp. 1930-1947.
7. Y.F. Sun, and F.Q. Deng, "Chaotic parallel genetic algorithm with feedback mechanism and its application in complex constrained problem", Proceedings of IEEE Conference on Cybernetics and Intelligent Systems, Singapore, 2004, pp. 596-601.
8. R. May, "Simple mathematical models with very complicated dynamics", Nature, 1976, 261, pp. 45-67.