摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一份新报告的主题。根据NewsRx记者从赛义德港大学的新闻报道，研究表明，"这项研究旨在开发预测模型，以准确估计建筑能耗。"这项研究的财政支持者包括埃及的未来大学。我们的新闻记者从赛义德港大学的研究中获得了一句话：“选择了三种常用的人工智能技术来开发一种新的建筑能耗估算模型，所选技术是遗传规划(GP)、人工神经网络(ANN)和进化多项式回归(EPR)。收集了16种节能措施，并用于设计和评价所建模型，包括建筑尺寸、建筑结构、结果表明，EPR模型是最准确、实用的模型，误差为2%。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from Port Said Uni versity by NewsRx journalists, research stated, “This research aims to develop p redictive models to estimate building energy accurately.” Financial supporters for this research include Future University in Egypt. Our news journalists obtained a quote from the research from Port Said Universit y: “Three commonly used artificial intelligence techniques were chosen to develo p a new building energy estimation model. The chosen techniques are Genetic Prog ramming (GP), Artificial Neural Network (ANN), and Evolutionary Polynomial Regre ssion (EPR). Sixteen energy efficiency measures were collected and used in desig ning and evaluating the proposed models, which include building dimensions, orie ntation, envelope construction materials properties, window-to-wall ratio, heati ng and cooling set points, and glass properties. The performance of the develope d models was evaluated in terms of the RMS, R2, and MAPE. The results showed tha t the EPR model is the most accurate and practical model with an error percent o f 2%.”
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