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Nov 7, 2012 · In this paper, Support Vector Machines (SVM) and Logistic Regression (LR) are used to predict the explosion of oil gas. LR can get the explicit ...
In this paper, Support Vector Machines (SVM) and Logistic Regression (LR) are used to predict the explosion of oil gas. LR can get the explicit probability ...
Nov 8, 2012 · Abstract. The prevention of dangerous chemical accidents is a primary problem of industrial manu- facturing. In the accidents of dangerous ...
Support Vector Machines (SVM) and Logistic Regression (LR) are used to predict the explosion of oil gas and the effects of penalty parameter on the ...
The prevention of dangerous chemical accidents is a primary problem ofindustrial manufacturing. In the accidents of dangerous chemicals, the oil ...
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In this study, a hybrid gas explosion pressure prediction model based on kernel principal component analysis (KPCA), a least square support vector machine ( ...
Based on a comprehensive review aforementioned, it was found that ML approaches, specifically ANNs and SVMs, can accurately predict oil and gas pipeline ...
Missing: Logistic | Show results with:Logistic
ML model that can best predicts the failure of oil and gas equipment and a comparison ... The accuracy we got after applying Logistic Regression model is 96.8%.
A new hybrid approach model for predicting burst pressure of corroded pipelines of gas and oil. Eng. Fail. Anal. 2023, 149, 107248. [Google Scholar] ...
Explosion prediction of oil gas using SVM and Logistic Regression. Article ... explosion prevention is to estimate the better explosion limit of a given oil gas.