Using multiplicative neuron model to establish fuzzy logic relationships

Expert Systems with Applications

Volumn 40, Issue 3, 2013, Pages 850-853

  Aladag, Cagdas Hakan ^a  

^a HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Forecasting accuracy; Fuzzy relations; Fuzzy time series; Multiplicative neuron model

Indexed keywords

EXCHANGE-TIME; FORECASTING ACCURACY; FORECASTING PERFORMANCE; FUZZY RELATIONS; FUZZY TIME SERIES; MULTIPLICATIVE NEURON MODEL; PARTICLE SWARM OPTIMIZATION METHOD;

FUZZY LOGIC; NEURAL NETWORKS; NEURONS; TIME SERIES;

FORECASTING;

EID: 84867856947     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.05.039     Document Type: Conference Paper

References (19)

1. C.H. Aladag, M.A. Basaran, E. Egrioglu, U. Yolcu, and V.R. Uslu Forecasting in high order fuzzy time series by using neural networks to define fuzzy relations Expert Systems with Applications 36 2009 4228 4231
2. C.H. Aladag, U. Yolcu, and E. Egrioglu A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks Mathematics and Computers in Simulation 81 2010 875 882
3. S.M. Chen Forecasting enrollments based on fuzzy time-series Fuzzy Sets and Systems 81 1996 311 319
4. S.M. Cheng, L.Y. Wei, and Y.S. Chen Fusion ANFIS models based on multi-stock volatility causality for TAIEX forecasting Neurocomputing 72 2009 3462 3468
5. E. Egrioglu, V.R. Uslu, U. Yolcu, M.A. Basaran, and C.H. Aladag A new approach based on artificial neural networks for high order bivariate fuzzy time series J. Mehnen, Applications of soft computing vol. 58 2009 Springer-Verlag Berlin Heidelberg 265 273 pp. 265-273 AISC
6. E. Egrioglu, C.H. Aladag, U. Yolcu, V.R. Uslu, and M.A. Basaran A new approach based on artificial neural networks for high order multivariate fuzzy time series Expert Systems with Applications 36 2009 10589 10594
7. K. Huarng, and T.H.-K. Yu The application of neural networks to forecast fuzzy time series Physica A 363 2006 481 491
8. L.-Y. Hsu, S.-J. Horng, T.-W. Kao, Y.H. Chen, R.-S. Run, and R.-J. Chen Temperature prediction and TAIFEX forecasting based on fuzzy relationship and MTPSO techniques Expert Systems with Applications 37 2010 2756 2770
9. Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization, In Proceedings of IEEE International Conference on Neural Networks, pages 1942-1948, Piscataway, NJ, USA, IEEE Press.
10. L.-W. Lee, L.-H. Wang, and S.-M. Chen Temperature prediction and TAIFEX forecasting based on fuzzy logical relationships and genetic algorithms Expert Systems with Applications 33 2007 539 550
11. L.-W. Lee, L.-H. Wang, and S.-M. Chen Temperature prediction and TAIFEX forecasting based on high-order fuzzy logical relationships and genetic simulated annealing techniques Expert Systems with Applications 34 2008 328 336
12. Y. Ma, C. Jiang, Z. Hou, and C. Wang The formulation of the optimal strategies for the electricity producers based on the particle swarm optimization algorithm IEEE Transactions on Power System 21 4 2006 1663 1671
13. Shi, Y., & Eberhart, R. C. (1999). Empirical study of particle swarm optimization. In Proceedings of the IEEE Congress on Evolutionary Computation (pp. 1945-1950). Piscataway, NJ, USA: IEEE Press.
14. Q. Song, and B.S. Chissom Fuzzy time series and its models Fuzzy Sets and Systems 54 1993 269 277
15. Q. Song, and B.S. Chissom Forecasting enrollments with fuzzy time series Part I Fuzzy Sets and Systems 54 1-10 1993 1993
16. Q. Song, and B.S. Chissom Forecasting enrollments with fuzzy time series - Part II Fuzzy Sets and Systems 62 l 1994 1 8
17. R.N. Yadav, P.K. Kalra, and J. John Time series prediction with single multiplicative neuron model Applied Soft Computing 7 2007 1157 1163
18. T.H.K. Yu, and K.H. Huarng A neural network- based fuzzy time series model to improve forecasting Expert Systems with application 37 2010 3366 3372
19. L. Zhao, and Y. Yang PSO-based single multiplicative neuron model for time series prediction Expert Systems with Applications 36 2009 2805 2812