Back propagation neural network with adaptive differential evolution algorithm for time series forecasting

Expert Systems with Applications

Volumn 42, Issue 2, 2015, Pages 855-863

  Wang, Lin ^a   Zeng, Yi ^a   Chen, Tao ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Back propagation neural network; Differential evolution algorithm; Time series forecasting

Indexed keywords

BACKPROPAGATION ALGORITHMS; FORECASTING; NEURAL NETWORKS; OPTIMIZATION; TIME SERIES; TORSIONAL STRESS;

ADAPTIVE DIFFERENTIAL EVOLUTION (ADE); ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHMS; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODELS; BACK PROPAGATION NEURAL NETWORKS; DIFFERENTIAL EVOLUTION ALGORITHMS; FORECASTING ACCURACY; LOCAL MINIMUM POINT; TIME SERIES FORECASTING;

EVOLUTIONARY ALGORITHMS;

EID: 84907494099     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.08.018     Document Type: Article

References (49)

1. A.A. Adebiyi, A.O. Adewumi, and C.K. Ayo Comparison of ARIMA and artificial neural networks models for stock price prediction Journal of Applied Mathematics 2 1 2014 1 7
2. A. Aslanargun, M. Mammadov, B. Yazici, and S. Yolacan Comparison of ARIMA, neural networks and hybrid models in time series: Tourist arrival forecasting Journal of Statistical Computation and Simulation 77 1 2007 29 53
3. C. Bennett, R.A. Stewart, and C.D. Beal ANN-based residential water end-use demand forecasting model Expert Systems with Applications 40 4 2013 1014 1023
4. G.E.P. Box, and G.M. Jenkins Time series analysis: Forecasting and control 1976 Francisco Holden-Day
5. M.J. Campbell, and A.M. Walker A survey of statistical work on the Mackenzie River series of annual Canadian lynx trappings for the years 1821-1934 and a new analysis Journal of the Royal Statistical Society (Series A) 140 4 1977 411 431
6. G.Y. Chen, K.Y. Fu, Z.W. Liang, T. Sema, C. Li, and P. Tontiwachwuthikul The genetic algorithm based back propagation neural network for MMP prediction in CO2-EOR process Fuel 126 2014 202 212
7. F.L. Chu A fractionally integrated autoregressive moving average approach to forecasting tourism demand Tourism Management 29 1 2008 79 88
8. L.G. Cui, L. Wang, and J. Deng RFID technology investment evaluation model for the stochastic joint replenishment and delivery problem Expert Systems with Applications 41 4 2014 1792 1805
9. L.G. Cui, L. Wang, J. Deng, and J.L. Zhang A new improv ed quantum evolution algorithm with local search procedure for capacitated vehicle routing problem Mathematical Problems in Engineering 2013 2013 1 17 10.1155/2013/159495 Article ID 159495
10. F.X. Diebold, and R.S. Mariano Comparing predictive accuracy Journal of Business & Economic Statistics 20 1 2002 134 144
11. V.S. Ediger, and S. Akar ARIMA forecasting of primary energy demand by fuel in Turkey Energy Policy 35 3 2007 1701 1708
12. Z.W. Geem, and W.E. Roper Energy demand estimation of South Korea using artificial neural network Energy Policy 37 10 2009 4049 4054
13. H.G. Hosseini, D. Luo, and K.J. Reynolds The comparison of different feed forward neural network architectures for ECG signal diagnosis Medical Engineering and Physics 28 4 2006 372 378
14. R. Irani, and R. Nasimi Evolving neural network using real coded genetic algorithm for permeability estimation of the reservoir Expert Systems with Applications 38 8 2011 9862 9866
15. F.Y. Ju, and W.C. Hong Application of seasonal SVR with chaotic gravitational search algorithm in electricity forecasting Applied Mathematical Modeling 37 23 2013 9643 9651
16. M. Khashei, and M. Bijari A new class of hybrid models for time series forecasting Expert Systems with Applications 39 4 2012 4344 4357
17. M. Khashei, M. Bijari, and G.A.R. Ardali Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs) Neurocomputing 72 4 2009 956 967
18. M. Khashei, F.M. Rafiei, and M. Bijari Hybrid fuzzy auto-regressive integrated moving average (FARIMAH) model for forecasting the foreign exchange markets International Journal of Computational Intelligence Systems 6 5 2013 954 968
19. K. Kumar, and V.K. Jain Autoregressive integrated moving averages (ARIMA) modeling of a traffic noise time series Applied Acoustics 58 3 1999 283 294
20. Y.S. Lee, and L.I. Tong Forecasting nonlinear time series of energy consumption using a hybrid dynamic model Applied Energy 94 2012 251 256
21. Y.H. Li, H. Guo, L. Wang, and J. Fu A hybrid genetic-simulated annealing algorithm for the location-inventory-routing problem considering returns under E-supply chain environment The Scientific World Journal 2013 2013 1 10 10.1155/2013/125893 Article ID 125893
22. S. Liu, and L. Wang Understanding the impact of risks on performance in internal and outsourced information technology projects: The role of strategic importance International Journal of Project Management 32 2014 10.1016/j.ijproman.2014.01.012
23. S. Liu, and L. Wang User liaisons' perspective on behavior and outcome control in IT projects: Role of IT experience, behavior observability, and outcome measurability Management Decision 52 6 2014 1148 1173
24. C.J. Lu, T.S. Lee, and C.C. Chiu Financial time series forecasting using independent component analysis and support vector regression Decision Support Systems 47 2 2009 115 125
25. J.M. Matias, and J.C. Reboredo Forecasting performance of nonlinear models for intraday stock returns Journal of Forecasting 31 2 2012 172 188
26. F. Neri, and V. Tirronen Recent advances in differential evolution: A survey and experimental analysis Artificial Intelligence Review 33 1-2 2010 61 106
27. G. Onwubolu, and D. Davendra Scheduling flow shops using differential evolution algorithm European Journal of Operational Research 171 2 2006 674 692
28. P.F. Pai, and W.C. Hong Support vector machines with simulated annealing algorithms in electricity load forecasting Energy Conversion and Management 46 17 2005 2669 2688
29. H. Qu, L. Wang, and Y.R. Zeng Modeling and optimization for the joint replenishment and delivery problem with heterogeneous items Knowledge-Based Systems 54 2013 207 215
30. R. Storn, and K. Price Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces Journal of Global Optimization 11 4 1997 341 359
31. J.L. Ticknor A Bayesian regularized artificial neural network for stock market forecasting Expert Systems with Applications 40 14 2013 5501 5506
32. J. Vesterstrom, and R. Thomsen A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems Proceedings of IEEE Congress on Evolutionary Computation 2 2004 1980 1987
33. S.T. Wang Optimized light guide plate optical brightness parameter: integrating back-propagation neural network (BPN) and revised genetic algorithm (GA) Materials and Manufacturing 29 1 2013 1 8
34. L. Wang, Q.L. Fu, and Y.R. Zeng Continuous review inventory models with a mixture of backorders and lost sales under fuzzy demand and different decision situations Expert Systems with Applications 39 4 2012 4181 4189
35. L. Wang, J. He, and Y.R. Zeng A differential evolution algorithm for joint replenishment problem using direct grouping and its application Expert Systems 29 5 2012 429 441
36. L. Wang, H. Qu, T. Chen, and F.P. Yan An effective hybrid self-adapting differential evolution algorithm for the joint replenishment and location-inventory problem in a three-level supply chain The Scientific World Journal 2013 2013 1 11 10.1155/2013/270249 Article ID 270249
37. L. Wang, H. Qu, S. Liu, and C. Chen Optimizing the joint replenishment and channel coordination problem under supply chain environment using a simple and effective differential evolution algorithm Discrete Dynamics in Nature and Society 2014 2014 1 12 10.1155/2014/709856 Article ID 709856
38. L. Wang, Y.R. Zeng, J.L. Zhang, W. Huang, and Y.K. Bao The criticality of spare parts evaluating model using an artificial neural network approach Lecture Notes in Computer Science 3991 2006 728 735
39. J. Wang, W. Zhu, W. Zhang, and D.H. Sun A trend fixed on firstly and seasonal adjustment model combined with the ε-SVR for short-term forecasting of electricity demand Energy Policy 37 11 2009 4901 4909
40. J.Y.F. Yam, and T.W.S. Chow A weight initialization method for improving training speed in feedforward neural network Neurocomputing 30 1 2000 219 232
41. H.K. Yu, N.Y. Kim, and S.S. Kim Forecasting the number of human immunodeficiency virus infections in the Korean population using the autoregressive integrated moving average model Osong Public Health and Research Perspectives 4 6 2013 358 362
42. Y.R. Zeng, L. Wang, X.H. Xu, and Q.L. Fu Optimizing the joint replenishment and delivery scheduling problem under fuzzy environment using inverse weight fuzzy nonlinear programming method Abstract and Applied Analysis 2014 2014 1 13 10.1155/2014/904240 Article ID 904240
43. G.P. Zhang Time series forecasting using a hybrid ARIMA and neural network model Neurocomputing 50 2003 159 175
44. W.Y. Zhang, W.C. Hong, Y. Dong, G. Tsai, J.T. Sung, and G.F. Fan Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting Energy 45 1 2012 850 858
45. G.P. Zhang, B.E. Patuwo, and M.Y. Hu Forecasting with artificial neural networks: The state of the art International Journal of Forecasting 14 1 1998 35 62
46. G.P. Zhang, B.E. Patuwo, and M.Y. Hu A simulation study of artificial neural networks for nonlinear time-series forecasting Computers & Operations Research 28 4 2001 381 396
47. G.P. Zhang, and M. Qi Neural network forecasting for seasonal and trend time series European Journal of Operational Research 160 2 2005 501 514
48. L. Zhang, and G. Subbarayan An evaluation of back-propagation neural networks for the optimal design of structural systems: Part I. Training procedures Computer Methods in Applied Mechanics and Engineering 191 25 2002 2873 2886
49. J.R. Zhang, J. Zhang, T.M. Lok, and M.R. Lyu A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training Applied Mathematics and Computation 185 2 2007 1026 1037