首页|Tongji University Reports Findings in Machine Learning (A novel hybrid variable cross layer-based machine learning model improves the accuracy and interpretatio n of energy intensity prediction of wastewater treatment plant)
Tongji University Reports Findings in Machine Learning (A novel hybrid variable cross layer-based machine learning model improves the accuracy and interpretatio n of energy intensity prediction of wastewater treatment plant)
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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.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
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