首页|Data on Machine Learning Described by Researchers at Alzahra University (Predict ion of room temperature in Trombe solar wall systems using machine learning algo rithms)
Data on Machine Learning Described by Researchers at Alzahra University (Predict ion of room temperature in Trombe solar wall systems using machine learning algo rithms)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on artificial intelligence is now ava ilable. According to news reporting out of Tehran,Iran, by NewsRx editors, rese arch stated, “A Trombe wall-heating system is used to absorb solar energyto hea t buildings.”Our news reporters obtained a quote from the research from Alzahra University: “ Different parametersaffect the system performance for optimal heating. This stu dy evaluated the performance of four machinelearning algorithms-linear regressi on, k-Nearest neighbors, random forest, and decision tree-for predictingthe roo m temperature in a Trombe wall system. The accuracy of the algorithms was assess ed using R²and RMSE values. The results demonstrated that the k-Nearest neighbo rs and random forest algorithmsexhibited superior performance, with R~2 and RMSE values of 1 and 0. In contrast, linear regression anddecision tree showed weak er performance.”
NETL
NSTL
