Dealing with missing data for the power load studies using Support Vector Regression (SVR)
Đã lưu trong:
| 語言: | vie |
|---|---|
| 在線閱讀: | https://dlib.udn.vn/module/chi-tiet-sach?RecordID=8385 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| Thư viện lưu trữ: | Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng |
|---|
相似書籍
-
HANDLING MISSING DATA USING STANDARDIZED LOAD PROFILE (SLP) AND SUPPORT VECTOR REGRESSION (SVR)
由: Nguyễn, Tuấn Dũng, et al.
出版: (2023) -
Subsample ignorable likelihood for regression analysis with missing data /
由: Little, Roderick J. -
A soft-sensing model for feedwater flow rate using fuzzy support vector regression /
由: 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 /
由: Robitzsch, Alexander.