Neural computing: theory and practice
Neural computing: theory and practice
Multilayer feedforward networks are universal approximators
Neural Networks
Approximation capabilities of multilayer feedforward networks
Neural Networks
Fuzzy time series and its models
Fuzzy Sets and Systems
Forecasting enrollments with fuzzy time series—part I
Fuzzy Sets and Systems
Neural networks: applications in industry, business and science
Communications of the ACM
Forecasting enrollments with fuzzy time series—part II
Fuzzy Sets and Systems
A comparison of fuzzy forecasting and Markov modeling
Fuzzy Sets and Systems
Some new results on neural network approximation
Neural Networks
Forecasting enrollments based on fuzzy time series
Fuzzy Sets and Systems
Handling forecasting problems using fuzzy time series
Fuzzy Sets and Systems
Neuro-fuzzy systems for function approximation
Fuzzy Sets and Systems - Special issue on analytical and structural considerations in fuzzy modeling
Neural Networks in Business: Techniques and Applications
Neural Networks in Business: Techniques and Applications
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Temperature prediction using fuzzy time series
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A FCM-based deterministic forecasting model for fuzzy time series
Computers & Mathematics with Applications
A hybrid multi-order fuzzy time series for forecasting stock markets
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new approach based on artificial neural networks for high order multivariate fuzzy time series
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Forecasting TAIFEX based on fuzzy time series and particle swarm optimization
Expert Systems with Applications: An International Journal
Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques
Expert Systems with Applications: An International Journal
A neural network-based fuzzy time series model to improve forecasting
Expert Systems with Applications: An International Journal
A new method to forecast the TAIEX based on fuzzy time series
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A new method for forecasting the TAIEX based on high-order fuzzy logical relationships
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Non-uniform self-selective coder for fuzzy rules and its application
Expert Systems with Applications: An International Journal
A hybrid ANFIS model based on AR and volatility for TAIEX forecasting
Applied Soft Computing
Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques
Information Sciences: an International Journal
Handling forecasting problems based on high-order fuzzy logical relationships
Expert Systems with Applications: An International Journal
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques
Expert Systems with Applications: An International Journal
Using artificial neural network models in stock market index prediction
Expert Systems with Applications: An International Journal
Forecasting neural network-based fuzzy time series with different neural network models
GAVTASC'11 Proceedings of the 11th WSEAS international conference on Signal processing, computational geometry and artificial vision, and Proceedings of the 11th WSEAS international conference on Systems theory and scientific computation
Fuzzy based trend mapping and forecasting for time series data
Expert Systems with Applications: An International Journal
Forecasting shanghai composite index based on fuzzy time series and improved C-fuzzy decision trees
Expert Systems with Applications: An International Journal
Fuzzy time series model incorporating predictor variables and interval partition
WSEAS Transactions on Mathematics
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Forecasting the TAIEX based on fuzzy time series, PSO techniques and support vector machines
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
High-order fuzzy-neuro expert system for time series forecasting
Knowledge-Based Systems
Information Sciences: an International Journal
Modeling seasonality using the fuzzy integrated logical forecasting (FILF) approach
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Advances in Fuzzy Systems
Hi-index | 12.07 |
Fuzzy time series models have been applied to forecast various domain problems and have been shown to forecast better than other models. Neural networks have been very popular in modeling nonlinear data. In addition, the bivariate models are believed to outperform the univariate models. Hence, this study intends to apply neural networks to fuzzy time series forecasting and to propose bivariate models in order to improve forecasting. The stock index and its corresponding index futures are taken as the inputs to forecast the stock index for the next day. Both in-sample estimation and out-of-sample forecasting are conducted. The proposed models are then compared with univariate models as well as other bivariate models. The empirical results show that one of the proposed models outperforms the many other models.