Dealing with missing data for the power load studies using Support Vector Regression (SVR)
Sparad:
| Språk: | vie |
|---|---|
| Länkar: | https://dlib.udn.vn/module/chi-tiet-sach?RecordID=8385 |
| Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|
| Thư viện lưu trữ: | Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng |
|---|
Liknande verk
-
HANDLING MISSING DATA USING STANDARDIZED LOAD PROFILE (SLP) AND SUPPORT VECTOR REGRESSION (SVR)
av: Nguyễn, Tuấn Dũng, et al.
Publicerad: (2023) -
Subsample ignorable likelihood for regression analysis with missing data /
av: Little, Roderick J. -
A soft-sensing model for feedwater flow rate using fuzzy support vector regression /
av: Na, Man-Gyun. - A hybrid correction technique of missing load data based on time series analysis /
-
Impact of missing data on the detection of differential item functioning : The case of Mantel-Haenszel and logistic regression analysis /
av: Robitzsch, Alexander.