Suchergebnisse - regression based prediction algorithms

Regression algorithm-based prediction of burnup history in pebble-bed high-temperature reactors von Zhang, Hongjian, Zhu, Qing, Zhang, Liguo, Ma, Tao

“… The pebble-bed high-temperature reactor operates with continuous refueling, featuring a vast number of fuel spheres within the core that are challenging to …”
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High Precision Error Prediction Algorithm Based on Ridge Regression Predictor for Reversible Data Hiding von Wang, Xiaoyu, Wang, Xingyuan, Ma, Bin, Li, Qi, Shi, Yun-Qing

“… In this letter, a ridge regression-based high precision error prediction algorithm for reversible data hiding is proposed …”
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High-performance reversible data hiding based on ridge regression prediction algorithm von Wang, Xiaoyu, Wang, Xingyuan, Ma, Bin, Li, Qi, Wang, Chunpeng, Shi, Yunqing

“… •The ridge regression predictor is utilized to minimize the sum of squared residuals between the prediction pixels and the target pixels for reducing prediction error …”
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Workload prediction based on improved error correlation logistic regression algorithm and Cross‐TRCN of spatiotemporal neural network von Wan, Xin, Huang, Xiang, Wang, Fuzhi

“… difficult to fully characterize the uncertain characteristics of the system, this paper proposes a dual fusion prediction analysis model based on an improved error correlation logic regression algorithm …”
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Logical Regression Click Prediction Algorithm Based on Combination Structure von Shangzhi, Guo, Xiaofeng, Liao, Kaiyi, Xian

“… prediction algorithm, logical regression of combination structure(LRCS) based on composite structure …”
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A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees von De Caigny, Arno, Coussement, Kristof, De Bock, Koen W.

“… •Its ability to deliver actionable insights is demonstrated in a case study. Decision trees and logistic regression are two very popular algorithms in customer churn prediction with strong predictive performance and good comprehensibility …”
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Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure von Asencio–Cortés, G., Morales–Esteban, A., Shang, X., Martínez–Álvarez, F.

“… In this work, the use of several regression algorithms combined with ensemble learning is explored in the context of big data (1 GB catalog is used …”
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Safety Margin Prediction Algorithms Based on Linear Regression Analysis Estimates von Tsitsiashvili, Gurami, Losev, Alexandr

“… In this paper, we consider the problem of approximating the safety margin of a single instance of a technical system based on inaccurate observations at specified time points …”
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Short term wind speed prediction based on evolutionary support vector regression algorithms von Salcedo-Sanz, Sancho, Ortiz-Garcı´a, Emilio G., Pérez-Bellido, Ángel M., Portilla-Figueras, Antonio, Prieto, Luis

“… Hyper-parameters estimation in regression Support Vector Machines (SVMr) is one of the main problems in the application of this type of algorithms to learning problems …”
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Roadside Estimation of a Vehicle's Center of Gravity Height Based on an Improved Single-Stage Detection Algorithm and Regression Prediction Technology von Xu, Qingjin, Fu, Rui, Wu, Fuwei, Wang, Biyao

“… In this paper, a vehicle center of gravity (CG) height estimation method based on improved You Only Look Once algorithm and AdaBoost regression is proposed by relying on roadside sensors …”
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Optimization design of boriding process prediction algorithm based on multiple linear regression model von Yang, Shangxuan, Liu, Bing, Qiu, Xu, Zhang, Yu

“… Therefore, a multiple 1inear regression model is proposed to predict the thickness and properties of the boronizing layer …”
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Regression algorithm based residual range prediction and validation on EV travel data von Unni, Keerthi, Thale, Sushil S

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Study on the Optimal Reaction Parameters of C4 Olefin Prepared by Ethanol Catalyzed Reaction Based on XGBoost Regression Prediction Algorithm von Kang, Wenkai, An, Yaohui, Zhang, Linqing

“… regression fitting model was established under the assumption of ignoring the small probability of experimental error …”
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LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers von Farahnakian, Fahimeh, Liljeberg, Pasi, Plosila, Juha

“… We present a CPU usage prediction method based on the linear regression technique. The proposed approach approximates the short-time future CPU utilization based on the history of usage …”
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Genetic algorithm based support vector machine regression for prediction of SARA analysis in crude oil samples using ATR-FTIR spectroscopy von Mohammadi, Mahsa, Khanmohammadi Khorrami, Mohammadreza, Vatani, Ali, Ghasemzadeh, Hossein, Vatanparast, Hamid, Bahramian, Alireza, Fallah, Afshin

“… In the current research, an analytical method was proposed for rapid quantitative determination of saturates, aromatics, resins and asphaltenes (SARA) …”
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Bayesian optimization algorithm‐based Gaussian process regression for in situ state of health prediction of minorly deformed lithium‐ion battery von Liu, Qi, Bao, Xubin, Guo, Dandan, Li, Ling

“… This study presents an in situ prediction technique for minorly deformed battery SOH, utilizing a Gaussian process regression (GPR …”
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Prediction of peak discharge from earth–rock dam failures based on Bayesian optimization XGBoost regression algorithm von Wang, Ting, Gao, Panrui, Tian, Zhiwen, Li, Yanlong, Qiu, Wen, Shi, Ning, Xu, Zengguang

“… To show the superiority of the BO-XGBoost regression prediction model, we also selected three additional algorithms including Decision Tree, Random Forest, and Gradient Boosting Decision Tree …”
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Weather based paddy yield prediction using machine learning regression algorithms von SAKTHIPRIYA, DHINAKARAN, THANGAVEL CHANDRAKUMAR

“… ; adverse all the variables drastically reduce the paddy yield. In this research, machine learning model was developed for prediction of paddy yield production by linear regression (LR …”
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Intelligent air pollution prediction algorithm-based optimized random forest regression for reducing asthmatic attacks von Fakhrulddin, Saif Saad, Bhatt, Vaibhav, Gharghan, Sadik Kamel

“… Materials and methods: This study proposed a novel Intelligent Air Pollution Prediction (IAPP) algorithm based on optimizing Random Forest Regression …”
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A regression-based performance prediction framework for synchronous iterative algorithms on general purpose graphical processing unit clusters von Pallipuram, Vivek K., Smith, Melissa C., Raut, Nimisha, Ren, Xiaoyu

“… In this research, we propose a regression‐based performance prediction framework for general purpose graphical processing unit (GPGPU …”
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