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每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx编辑从上海报道，中国人民代表大会，研究称，“能源”污水处理厂(WWTPs)强度(EI)检测存在不准确、不可靠由于数据质量差、机制复杂和各种混杂变量而造成的错误。在这里研究中，设计了一种基于混合变量交叉层的机器学习(VCL-ML)模型，该模型通过监测指标（如COD等）生成新知识。然后嵌入两个域知识和监测指标进入ML模型"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Shanghai, People’s Rep ublic of China, by NewsRx editors, research stated, “Energyintensity (EI) predi ction in wastewater treatment plants (WWTPs) suffers from inaccuracy and non-interpretability due to poor data quality, complex mechanisms and various confoundi ng variables. In thisstudy, the novel hybrid variable cross layer-based machine learning (VCL-ML) model was devised, which generates new knowledge with monitor ing indicators (e.g., COD, etc.) and then embeds both domainknowledge and monit oring indicators into the ML model.”
NETL
NSTL