Robotics & Machine Learning Daily News2024,Issue(Nov.1) :61-62.

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)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :61-62.

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)

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Abstract

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.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanjing Forestry University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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