首页|Reports Summarize Machine Learning Findings from Nanjing Forestry University (En hancing Water Quality Prediction With Advanced Machine Learning Techniques: an E xtreme Gradient Boosting Model Based On Long Short-term Memory and Autoencoder)
Reports Summarize Machine Learning Findings from Nanjing Forestry University (En hancing Water Quality Prediction With Advanced Machine Learning Techniques: an E xtreme Gradient Boosting Model Based On Long Short-term Memory and Autoencoder)
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 Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Nanjing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Achieving carb on neutrality in the pulp and paper industry necessitates effectively recycling pulp and papermaking wastewater, where continuous monitoring of effluent quality indices is crucial. This study suggests a novel machine learning-based model na med LSTMAE-XGBOOST that integrates the feature extraction capabilities of autoen coder, the sequential feature learning capabilities of LSTM, and the high predic tion accuracy of XGBOOST.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanjing Forestry University
NETL
NSTL
