Time-Series Prediction and Applications A Machine Intelligence Approach /
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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Σειρά: | Intelligent Systems Reference Library,
127 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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. .