Hybrid of simulated annealing and SVM for hydraulic valve characteristics prediction

Expert Systems with Applications

Volumn 38, Issue 7, 2011, Pages 8030-8036

  Jia, Zhen Yuan ^a   Ma, Jian Wei ^a   Wang, Fu Ji ^a   Liu, Wei ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Characteristics prediction; Hydraulic valve; Simulated annealing; SVM

Indexed keywords

ACCURATE PREDICTION; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL NEURAL NETWORK; CHARACTERISTICS PREDICTION; HYDRAULIC VALVES; INDUSTRIAL PRODUCTION; INPUT PARAMETER; PREDICTION METHODS; PREDICTION MODEL; REPAIR RATE; SVM; SYSTEM MODELING;

COMPUTER SIMULATION; FORECASTING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; HYDRAULIC EQUIPMENT; HYDRAULIC MACHINERY; HYDRAULICS; MATHEMATICAL MODELS; VALVES (MECHANICAL);

SIMULATED ANNEALING;

EID: 79952445532     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.132     Document Type: Article

References (15)

1. V. Černý Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm Journal of Optimization Theory and Applications 45 1 1985 41 51 (Pubitemid 15462741)
2. P.H. Chen, and S.M. Shahandashti Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints Automation in Construction 18 2009 434 443
3. Z.Y. Jia, J.W. Ma, F.J. Wang, and W. Liu Characteristics forecasting of hydraulic valve based on grey correlation and ANFIS Expert Systems with Applications 37 2 2010 1250 1255
4. S. Kirkpatrick, C.D. Gelatt, and M.P. Vecchi Optimization by simulated annealing Science 220 4598 1983 671 680
5. V. Kecman Support vector machines - an introduction L. Wang, Support vector machines: Theory and applications 2005 Springer-Verlag New York 1 48
6. P.J.M.V. Laarhoven, and E.H.L. Aarts Simulated annealing: Theory and applications 1987 D. Reidel Publishing Co. Holland (Dordrecht, The Netherlands)
7. M. Locatelli Simulated annealing algorithms for continuous global optimization: Convergence conditions Journal of Optimization Theory and Applications 104 1 2000 121 133
8. N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, A.H. Teller, and E. Teller Equation of state calculations by fast computing machines Journal of Chemical Physics 21 6 1953 1087 1092
9. Müller, K. R., Smola, A. J., Rätsch, G., Schölkopf, B., Kohlmorgen, J., Vapnik, V. (1997). Predicting time series with support vector machines. In Proceedings of the 7th International Conference on Artificial Neural Networks (ICANN), Lausanne, Switzerland (pp. 999-1004). Vol. 1327 of Lecture Notes in Computer Science. (Pubitemid 127140363)
10. I.H. Osman, and G. Laporte Metaheuristics: A bibliography Annals of Operations Research 63 5 1996 513 623
11. P.J.M. Van Laarhoven, E.H.L. Aarts, and J.K. Lenstra Job shop scheduling by simulated annealing Operations Research 40 1 1992 113 125
12. V. Vapnik Statistical learning theory 1998 Wiley New York
13. V.N. Vapnik The nature of statistical learning theory 2005 Springer New York
14. Y. Zhang, and Y. Xie Forecasting of short-term freeway volume with ν-support vector machines Transportation Research Record: Journal of the Transportation Research Board 2024 2007 92 99 (Pubitemid 351345491)
15. S.B. Zhang, H.J. Tang, Z.Z. Han, and Y. Zhang Tyre dynamics modeling of vehicle based on support vector machines Chinese Journal of Mechanical Engineering 19 4 2006 558 565 (Pubitemid 46162573)