Temperature prediction using wavelet neural network

Research Journal of Information Technology

Volumn 4, Issue 1, 2012, Pages 22-30

  Sharma, Arun ^a   Agarwal, Swati ^a  

^a KRISHNA INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

HAAR wavelet; Neural network; Pattern recognition; Time series analysis

Indexed keywords

EID: 84863393489     PISSN: 18157432     EISSN: None     Source Type: Journal    
DOI: 10.3923/rjit.2012.22.30     Document Type: Article

References (20)

1. Baboo, S.S. and I.K. Shereef, 2010. An efficient weather forecasting system using artificial neural network. Int. J. Environ. Sci. Dev., 1: 321-326.
2. Bishop, CM., 2010. Neural Networks for Pattern Recognition. Oxford University Press, Oxford, UK.
3. Chen, L., 2005. Pattern classification by assembling small neural networks. Proc. Int. Joint Gonf. Neural Networks, 3: 1947-1952.
4. Chen, S.M. and J.R. Hawang, 2000. Temperature prediction using fuzzy time series. IEEE Trans. Syst. Man Cybern B Cybern, 30: 263-275.
5. Hayati, M. and Z. Mohebi, 2007a. Application of artificial neural networks for temperature forecasting. World Acad. Sci. Eng. TechnoL, 28: 275-279
6. Hayati, M. and Z. Mohebi, 2007b. Temperature forcasting based on neural network approach. World Applied Sci. J, 2: 613-620.
7. Holmstrom, L. and P. Koistinen, 2006. Pattern recognition. Wiley Interdisciplinary Rev. Comput. Stat., 2: 404-413.
8. Hwang, J.R., S.M. Chen and C.H. Lee, 1998. Handling forecasting problems using fuzzy time series. Fuzzy Sets Syst., 100: 217-228.
9. Lee, L.W., L.H. Wang, S.M. Chen and Y.H. Leu, 2006. Handling forecasting problems based on two-factors high-order fuzzy time series. IEEE Trans. Fuzzy Syst., 14: 468-477.
10. Li, S.T. and Y.C. Cheng, 2010. A stochastic HMM-based forecasting model for fuzzy time series. Inst. Electr. Electron. Eng. Trans. Syst. Man Cybern. Part B: Cybern., 40: 1255-1266.
11. Lihong, Z. and H. Xiangjian, 2005. Classification techniques in pattern recognition. Proceedings of the Conference on WSCG, January 3-February 4, 2005, Plzen, Czech Republic.
12. Lin, S., G. Wang, S. Zhang and J. Li, 2006. Time series prediction based on support vector regression. Inform. Technol. J., 5: 353-357.
13. Olayemi, P.A. 2007. Fuzzy-wavelet method for time series analysis. Ph.D. Thesis, Department of Computing School of Electronics and Physical Sciences, University of Surrey Guildford, UK.
14. Pal, N.R., S. Pal, J. Das and K. Majumdar, 2003. SOFM-MLP: A hybrid neural network for atmospheric temperature prediction. IEEE Trans. Geosci. Remote Sensing, 41: 2783-2791.
15. Radhika, Y. and M. Shashi, 2009. Atmospheric temperature prediction using support vector machines. Int. J. Comput. Theory Eng., 1: 55-58.
16. Rastogi, A., A. Srivastava, V.K. Srivastava and A.K. Pandey, 2011. Pattern analysis approach for prediction using wavelet neural networks. Proceedings of the International Conference on Natural Computation, July 26-28, 2011, Shanghai, pp: 695-699.
17. Riordan, D. and B.K. Hansen, 2009. A fuzzy code-based system for weather prediction. Eng. Int. Syst., 10: 139-146.
18. Song, Q. and B.S. Chissom, 1993. Forecasting enrolments with fuzzy time series- part I. Fuzzy Sets Syst., 54: 1-9.
19. Song, Q. and B.S. Chissom, 1994. Forecasting enrolments with fuzzy time series- part II. Fuzzy Sets Syst., 62: 1-8.
20. Sharma, A. and M. Manoria, 2006. A weather forecasting system using concept of soft computing: A new approach. Proceedings of the International Conference on Advanced Computing and Communications, December 20-23, 2006, Surathkal, pp: 353-356