Robotics & Machine Learning Daily News2024,Issue(Jan.8) :13-13.

University of Southern Queensland Researchers Release New Dataon Machine Learning (Boruta extra tree-bidirectional long shortterm memory model development for Pan evaporation forecasting: Investigation of arid climate condition)

Robotics & Machine Learning Daily News2024,Issue(Jan.8) :13-13.

University of Southern Queensland Researchers Release New Dataon Machine Learning (Boruta extra tree-bidirectional long shortterm memory model development for Pan evaporation forecasting: Investigation of arid climate condition)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting originating from the University of Southern Queensland by NewsRx correspondents, researchstated, “In this study, two deep learning approaches, bidirectional long short-term memory (BiLSTM) andlong short-term memory (LSTM), were used along with adaptive boosting and general regression neuralnetwork to forecast multi-step-ahead pan evaporation in two arid climate stations in Iran (Ahvaz andYazd).”

Key words

University of Southern Queensland/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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