Multiscale Forecasting Models
This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies. The methods are based on Singular Value Decomposition (SVD) of a Hankel matrix (HSVD). The proposed decomposition is used to improve the accuracy of linear and nonlinear a...
Κύριος συγγραφέας: | Barba Maggi, Lida Mercedes (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Applied Machine Learning
ανά: Forsyth, David, κ.ά.
Έκδοση: (2019) -
Assessing and Improving Prediction and Classification Theory and Algorithms in C++ /
ανά: Masters, Timothy, κ.ά.
Έκδοση: (2018) -
Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
ανά: Cevallos-Torres, Lorenzo, κ.ά.
Έκδοση: (2019) -
Scalable Uncertainty Management 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings /
Έκδοση: (2019) -
Machine Learning A Practical Approach on the Statistical Learning Theory /
ανά: F MELLO, RODRIGO, κ.ά.
Έκδοση: (2018)