Optimizing neural networks using faster, more accurate genetic search
Proceedings of the third international conference on Genetic algorithms
Machine Learning
What are fuzzy rules and how to use them
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
Fuzzy ARIMA model for forecasting the foreign exchange market
Fuzzy Sets and Systems
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Time Series Prediction and Neural Networks
Journal of Intelligent and Robotic Systems
Designing Neural Networks using Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Predicting Time Series with Support Vector Machines
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
SNNS: An Efficient Simulator for Neural Nets
MASCOTS '93 Proceedings of the International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems
The concept of LFLC 2000: its specificity, realization and power of applications
Computers in Industry
A tutorial on support vector regression
Statistics and Computing
Evolving Time Series Forecasting ARMA Models
Journal of Heuristics
On the semantics of perception-based fuzzy logic deduction: Research Articles
International Journal of Intelligent Systems - Intelligent and Soft Computing Techniques for Information Processing
The application of antigenic search techniques to time series forecasting
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications (Advances in Industrial Control)
A comprehensive theory of trichotomous evaluative linguistic expressions
Fuzzy Sets and Systems
A neural network approach to the fuzzy transform
Fuzzy Sets and Systems
Fuzzy transforms: Theory and applications
Fuzzy Sets and Systems
Data mining with neural networks and support vector machines using the R/rminer tool
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
A linguistic approach to time series modeling with the help of F-transform
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
Data strip mining for the virtual design of pharmaceuticals with neural networks
IEEE Transactions on Neural Networks
Implementing support vector regression with differential evolution to forecast motherboard shipments
Expert Systems with Applications: An International Journal
Fast fashion sales forecasting with limited data and time
Decision Support Systems
| Hi-index | 12.05 |
Accurate time series forecasting is a key issue to support individual and organizational decision making. In this paper, we introduce novel methods for multi-step seasonal time series forecasting. All the presented methods stem from computational intelligence techniques: evolutionary artificial neural networks, support vector machines and genuine linguistic fuzzy rules. Performance of the suggested methods is experimentally justified on seasonal time series from distinct domains on three forecasting horizons. The most important contribution is the introduction of a new hybrid combination using linguistic fuzzy rules and the other computational intelligence methods. This hybrid combination presents competitive forecasts, when compared with the popular ARIMA method. Moreover, such hybrid model is more easy to interpret by decision-makers when modeling trended series.