Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting

Engineering Applications of Artificial Intelligence

Volumn 25, Issue 6, 2012, Pages 1277-1288

  Khashei, Mehdi ^a   Bijari, Mehdi ^a  

^a ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Feed forward neural networks (FFNNs); Hybrid models; Probabilistic neural networks (PNNs); Time series forecasting

Indexed keywords

COMBINING FORECASTS; FORECASTING ACCURACY; FORECASTING PROBLEMS; HIGH DEGREE OF ACCURACY; HYBRID MODEL; MATHEMATICAL PROGRAMMING MODELS; PROBABILISTIC NEURAL NETWORKS; REAL DATA SETS; STEP LENGTH; TIME SERIES FORECASTING; TIME SERIES MODELS;

COMPUTER PROGRAMMING; FORECASTING; MATHEMATICAL PROGRAMMING; TIME SERIES;

NEURAL NETWORKS;

EID: 84864764456     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2012.01.019     Document Type: Article

References (45)

1. M.R. Amin-Naseri, and A.R. Soroush Combined use of unsupervised and supervised learning for daily peak load forecasting Energy Convers. Manage. 49 2008 1302 1308
2. C. Aladag, E. Egrioglu, and C. Kadilar Forecasting nonlinear time series with a hybrid methodology Appl. Math. Lett. 22 2009 1467 1470
3. J.M. Bates, and W.J. Granger The combination of forecasts Oper. Res. 20 1969 451 468
4. P.G. Benardos, and G.C. Vosniakos Optimizing feed-forward artificial neural network architecture Eng. Appl. Artif. Intell. 20 2007 365 382 (Pubitemid 46366649)
5. E. Cadenas, and W. Rivera Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA-ANN model Renewable Energy 35 2010 2732 2738
6. M. Cheng, H. Tsai, and E. Sudjono Evolutionary fuzzy hybrid neural network for project cash flow control Eng. Appl. Artif. Intell. 23 2010 604 613
7. T. Cacoullos Estimation of multivariate density Ann. Inst. Stat. Math. 18 2 1966 179 189
8. A. Chen, M. Leung, and H. Daouk Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index Comput. Oper. Res. 30 2003 901 923 (Pubitemid 36175299)
9. M. Cottrell, B. Girard, Y. Girard, M. Mangeas, and C. Muller Neural modeling for time series: a statistical stepwise method for weight elimination IEEE Trans. Neural Networks 6 6 1995 1355 1364
10. C. De Groot, and D. Wurtz Analysis of univariate time series with connectionist nets: a case study of two classical examples Neurocomputing 3 1991 177 192
11. D. Faruk A hybrid neural network and ARIMA model for water quality time series prediction Eng. Appl. Artif. Intell. 23 2010 586 594
12. S.S. Ge, Y. Yang, and T.H. Lee Hand gesture recognition and tracking based on distributed locally linear embedding Image Vision Comput. 26 2008 1607 1620
13. H. Hosseini, D. Luo, and K.J. Reynolds The comparison of different feed-forward neural network architectures for ECG signal diagnosis Med. Eng. Phys. 28 2006 372 378
14. M. Hajmeer, and I. Basheer Comparison of logistic regression and neural network-based classifiers for bacterial growth Food Microbiol. 20 2003 43 55 (Pubitemid 36080603)
15. M. Hajmeer, and I. Basheer A probabilistic neural network approach for modeling and classification of bacterial growth/no-growth data J. Microbiol Methods 51 2002 217 226 (Pubitemid 34804697)
16. X. Jiang, and A.H.K.S. Wah Constructing and training feed-forward neural networks for pattern classification Pattern Recognit. 36 2003 853 867
17. M. Khashei Forecasting the Isfahan Steel Company production price in Tehran Metals Exchange using Artificial Neural Networks (ANNs), Master of Science Thesis, Isfahan University of Technology, 2005.
18. M. Khashei, and M. Bijari A novel hybridization of artificial neural networks and ARIMA models for time series forecasting Appl. Soft. Comput. 11 2011 664 2675
19. M. Khashei, M. Bijari, and G.H.A. Raissi Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs) Neurocomputing 72 2009 956 967
20. M. Khashei, S.R. Hejazi, and M. Bijari A new hybrid artificial neural networks and fuzzy regression model for time series forecasting Fuzzy Sets Syst. 159 2008 769 786 (Pubitemid 351240997)
21. M. Khashei, and M. Bijari An artificial neural network (p, d, q) model for time series forecasting Expert Syst. Appl. 37 2010 479 489
22. M. Khashei, and M. Bijari A new hybrid methodology for nonlinear time series forecasting Model. Simul. Eng. 2011 10.1155/2011/379121 11
23. G. Lin, and M. Wu A hybrid neural network model for typhoon-rainfall forecasting J. Hydrol. 375 2009 450 458
24. W. Leigh, M. Paz, and R. Purvis An analysis of a hybrid neural network and pattern recognition technique for predicting short-term increases in the NYSE composite index Omega 30 2002 69 76
25. J. Leski, and E. Czogala A new artificial network based fuzzy interference system with moving consequents in if-then rules and selected applications Fuzzy Sets Syst. 108 1999 289 297 (Pubitemid 129592059)
26. J. Lee, and S. Kang GA based meta-modeling of BPN architecture for constrained approximate optimization Int. J. Solids Struct. 44 2007 5980 5993 (Pubitemid 47068440)
27. L. Ma, and K. Khorasani A new strategy for adaptively constructing multilayer feed-forward neural networks Neurocomputing 51 2003 361 385 (Pubitemid 36367243)
28. D. Marin, A. Varo, and J.E. Guerrero Non-linear regression methods in NIRS quantitative analysis Talanta 72 2007 28 42 (Pubitemid 46441352)
29. T. Masters Advanced Algorithms for Neural Networks 1995 Wiley New York
30. R.A. Meese, and K. Rogoff Empirical exchange rate models of the seventies: do they/t out of samples? J. Int. Econ. 14 1983 3 24
31. E. Parzen On estimation of a probability density function and mode Ann. Math. Stat. 36 1962 1065 1076
32. M.J. Reid Combining three estimates of gross domestic product Economica 35 1968 431 444
33. J.P. Ross Taguchi Techniques for Quality Engineering 1996 McGraw-Hill New York
34. D. Rumelhart, and J. McClelland Parallel Distributed Processing 1986 MIT Press Cambridge, MA
35. M. Shafie-khah, M. Parsa Moghaddam, and M.K. Sheikh-El-Eslami Price forecasting of day-ahead electricity markets using a hybrid forecast method Energy Convers. Manage. 52 2011 2165 2169
36. D. Specht Probabilistic neural networks Neural Networks 3 1990 109 118 (Pubitemid 20648273)
37. F.M. Tseng, H.C. Yu, and G.H. Tzeng Combining neural network model with seasonal time series ARIMA model Technol. Forecas. Soc. Change 69 2002 71 87
38. R. Tsaih, Y. Hsu, and C. Lai Forecasting S&P 500 stock index futures with a hybrid AI system Decis. Support Syst. 23 1998 161 174 (Pubitemid 128433703)
39. C. Tsai On detecting nonlinear patterns in discriminant problems Inf. Sci. 176 2006 772 798 (Pubitemid 43121493)
40. Q. Wu, S. Wu, and J. Liu Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO Eng. Appl. Artif. Intell. 23 2010 487 494
41. C.S. Wong, and W.K. Li On a mixture autoregressive model J. R. Stat. Soc. Ser.; B 62 1 2000 91 115
42. C.X. Xue, X.Y. Zhang, M.C. Liu, Z.D. Hu, and B.T. Fan Study of probabilistic neural networks to classify the active compounds in medicinal plants J. Pharm. Biomed. Anal. 38 2005 497 507 (Pubitemid 40733187)
43. L. Yu, S. Wang, and K.K. Lai A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates Comput. Oper. Res. 32 2005 2523 2541 (Pubitemid 40219759)
44. G. Zhang, B.E. Patuwo, and M.Y. Hu Forecasting with artificial neural networks: the state of the art Int. J.Forecasting 14 1998 35 62 (Pubitemid 128340470)
45. G.P. Zhang Time series forecasting using a hybrid ARIMA and neural network model Neurocomputing 50 2003 159 175 (Pubitemid 36124139)