An Introduction to Time-Series Prediction.- Prediction Using Self-Adaptive Interval Type-2 Fuzzy Sets.- Handling Multiple Factors in the Antecedent of Type-2 Fuzzy Rules.- Learning Structures in an Economic Time-Series for Forecasting Applications.- Grouping of First-Order Transition Rules for Time-Series Prediction by Fuzzy-induced Neural Regression.- Conclusions and Future Directions.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.