SCOPUS 정보 검색 플랫폼

Volumn 13, Issue 5, 2006, Pages 568-572

New support vector machine optimized by improved particle swarm optimization and its application

Author keywords

Particle swarm optimization algorithm; Short term load forecasting; Simulated annealing; Support vector machine

Indexed keywords

ALGORITHMS; COMPUTER APPLICATIONS; FORECASTING; SIMULATED ANNEALING;

PARTICLE SWARM OPTIMIZATION ALGORITHM; SUPPORT VECTOR MACHINE (SVM);

INFERENCE ENGINES;

EID: 33846199647 PISSN: 10059784 EISSN: None Source Type: Journal
DOI: 10.1007/s11771-006-0089-2 Document Type: Article

Times cited : (18)

References (9)

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2
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- Support vector machines with simulated annealing algorithms in electricity load forecasting
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- Pai, P.-F.¹ Hong, W.-C.²

3
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- Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms
- PAI Ping-feng, HONG Wei-chiang. Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms[J]. Electric Power Systems Research, 2005, 74(3): 417-425.
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- Pai, P.-F.¹ Hong, W.-C.²

4
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- Learning with progressive transductive support vector machine
- CHEN Yi-song, WANG Guo-ping, DONG Shi-hai. Learning with progressive transductive support vector machine[J]. Pattern Recognition Letters, 2003, 24(12): 1845-1855.
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- Chen, Y.-S.¹ Wang, G.-P.² Dong, S.-H.³

5
- 13244270060
- Applying support vector machines to predict building energy consumption in tropical region
- DONG Bing, CAO Cheng, Lee S E. Applying support vector machines to predict building energy consumption in tropical region[J]. Energy and Buildings, 2005, 37(5): 545-553.
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- Dong, B.¹ Cao, C.² Lee, S.E.³

6
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- Support vector machines experts for time series forecasting
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- Cao, L.-J.¹

7
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- Forecasting stock market movement direction with support vector machine
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- Huang, W.¹ Nakamori, Y.² Wang, S.-Y.³

9
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- An improved PSO-based ANN with simulated annealing technique
- DA Yi, GE Xiu-run. An improved PSO-based ANN with simulated annealing technique[J]. Neurocomputing, 2005, 63(1): 527-533.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.