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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Konar, Amit (Συγγραφέας), Bhattacharya, Diptendu (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
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. .