Time-Series Prediction and Applications A Machine Intelligence Approach /

• Main Authors: Konar, Amit (Author), Bhattacharya, Diptendu (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Intelligent Systems Reference Library, 127
• Subjects: Engineering.; Artificial intelligence.; Computer mathematics.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Computational Mathematics and Numerical Analysis.

This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a g...

Table of Contents:

• 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. .