摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑机器学习的新研究是一篇报告的主题。根据来自…的消息江苏，中华人民共和国，NewsRx记者，研究称，“预测冷却和冷却”供暖系统是建筑节能管理的重要组成部分，以保持室内舒适性。本研究采用了支持向量回归(SVR)、极限回归等机器学习方法梯度Boosting(XGB)和基于dempster-shafer T heory的768数据集集合模型样品。5倍交叉验证选择80%的数据集进行训练,并采用优化算法像Coot、Dingo和Sea Horse Optimizers一样，微调模型的适用性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news originating fromJiangsu, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Predicting cooling andheating l oads is essential for efficient building energy management in order to maintain indoor comfort.This study employs machine learning methods containing Support V ector Regression (SVR), ExtremeGradient Boosting (XGB), and a Dempster-Shafer T heory-based ensemble model using a dataset of 768samples. 5-fold cross-validati on selects 80 % of the dataset for training, with optimization alg orithmslike Coot, Dingo, and Sea-Horse Optimizers fine-tuning model applicabili ty.”
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