首页|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)
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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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).”
University of Southern QueenslandCyborgsEmerging TechnologiesMachine Learning
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