Power Emulation Using a Power Model Based on Multiple Linear Regression

2020 ◽  
Author(s):  
Hyun-Woo Chung ◽  
Joonhwan Yi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Power Model ◽  
Model Based ◽  
Power Emulation

scholarly journals A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN

2013 ◽  
Vol 2013 ◽  
pp. 1-10
Author(s):  
Jiantao Chang ◽  
Yuanying Qiu ◽  
Xianguang Kong
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Production Management ◽  
Prediction Method ◽  
Multiple Linear Regression Model ◽  
Model Based ◽  
Parameter Evaluation ◽  
Improved Model

Output prediction is one of the difficult issues in production management. To overcome this difficulty, a dynamic-improved multiple linear regression model based on parameter evaluation using discrete Hopfield neural networks (DHNN) is presented. First, a traditional multiple linear regression model is established; this model takes the factors in production lifecycle (not only one phase of the production) into account, such as manufacturing resources, manufacturing process, and product rejection rate, so it makes the output prediction be more accurate. Then a static-improved model is built using the backstepping method. Finally, we obtain the dynamic-improved model based on parameter evaluation using DHNN. These three models are applied to an aviation manufacturing enterprise based on the actual data, and the results of the output prediction show that the models have practical value.

scholarly journals MODEL REGRESI LINIER DENGAN METODE BACKWARD DAN FORWARD

2019 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
M. S. Noya Van Delsen ◽  
H. W. M. Patty ◽  
N. Lalurmele
Keyword(s):  
Local Government ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Domestic Product ◽  
Local Taxes ◽  
Model Based ◽  
The Government

Obligations are undertaken by the community before claiming their rights as citizens one of them is by paying taxes. Local tax is a compulsory fee imposed by the local government that is forced and used as much as possible to run the government. In determining the regression model, the factors involved by local taxes are Gross Regional Domestic Product (GRDP), Inflation and Population. The discussion in this research is about the comparison of a backward and forward method on multiple linear regression, and make a model with the program expected to be used to model the regression model on local taxes appropriately. Comparison of a regression model based on the GRDP in Ambon method backward and forward processed with the help of SPSS produce a model of the same, that is . The regression model generated by the method backward and forward involves only one variable (GRDP) with the value of R2 the same is equal to, 0,972 or 97.2%. So there is no difference between the regression model using either method backward or forward.

scholarly journals Prediction of COVID-19 New Cases Using Multiple Linear Regression Model Based on May to June 2020 Data in Ethiopia

2021 ◽  
pp. 54-63
Author(s):  
Alemayehu Siffir Argawu ◽  
Gizachew Gobebo ◽  
Ketema Bedane ◽  
Temesgen Senbeto ◽  
Reta Lemessa ◽  
...  
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Laboratory Tests ◽  
Addis Ababa ◽  
Multiple Linear Regression Model ◽  
Ministry Of Health ◽  
Model Based ◽  
The Government

The aims of this study was to predict COVID-19 new cases using multiple linear regression model based on May to June 2020 data in Ethiopia. The COVID-19 cases data was collected from the Ethiopia Ministry of Health Organization Facebook page. Pearson’s correlation analysis and linear regression model were used in the study. And, the COVID-19 new cases was positively correlated with the number of days, daily laboratory tests, new cases of males, new cases of females, new cases from Addis Ababa city, and new cases from foreign natives. In the multiple linear regression model, COVID-19 new cases was significantly predicted by the number of days at 5%, the number of daily laboratory tests at 10%, and the number of new cases from Addis Ababa city at 1% levels of significance. Then, the researchers recommended that Ethiopian Government, Ministry of Health, and Addis Ababa city administrative should give more awareness and protections for societies, and they should open again more COVID-19 laboratory testing centers. And, this study will help the government and doctors in preparing their plans for the next times.

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