摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于人工智能的新研究现在可用。根据来自越南胡志明市，新sRx记者的研究称：“这项研究旨在预测细颗粒物用自回归积分移动平均(ARIMA)、线性回归(LR)、随机森林(RF)、长短期记忆(LSTM)、双向回归法对越南胡志明市(PM2.5)污染状况进行了研究LSTM(Bi-LSTM)，以及结合BI-LSTM(CNN+Bi-LSTM)的卷积神经网络(CNN)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reporting fromHo Chi Minh, Vietnam, by New sRx journalists, research stated, “This study aims to predict fine particulatem atter (PM2.5) pollution in Ho Chi Minh City, Vietnam, using autoregressive integ rated moving average (ARIMA), linear regression (LR), random forest (RF), long s hort-term memory (LSTM), bidirectionalLSTM (Bi-LSTM), and convolutional neural network (CNN) combining Bi-LSTM (CNN+Bi-LSTM).”
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NSTL