Dealing with missing data for the power load studies using Support Vector Regression (SVR)
Na minha lista:
| Idioma: | vie |
|---|---|
| Acesso em linha: | https://dlib.udn.vn/module/chi-tiet-sach?RecordID=8385 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| Thư viện lưu trữ: | Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng |
|---|
Registos relacionados
-
HANDLING MISSING DATA USING STANDARDIZED LOAD PROFILE (SLP) AND SUPPORT VECTOR REGRESSION (SVR)
Por: Nguyễn, Tuấn Dũng, et al.
Publicado em: (2023) -
Subsample ignorable likelihood for regression analysis with missing data /
Por: Little, Roderick J. -
A soft-sensing model for feedwater flow rate using fuzzy support vector regression /
Por: 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 /
Por: Robitzsch, Alexander.