在印度密鲁特恒河纳加尔使用长短期记忆神经网络预测每日可吸入颗粒物10，用于卫生和农业应用

Q4 Environmental Science

Pollution Research Pub Date : 2023-01-01 DOI:10.53550/pr.2023.v42i03.006

VIBHA YADAV, BISHAL KUMAR MISHRA

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FORECASTING OF DAILY PM10 USING LONG SHORT TERM MEMORY NEURAL NETWORK IN GANGA NAGAR, MEERUT INDIA FOR HEALTH AND AGRICULTURE APPLICATIONS

Air quality is known to significantly affect health, forecasting it is a very important task. A highly industrialized region in India, Meerut has one of the most extensive agricultural applications. Delhi, India’s central pollution control board keeps time series data. In order to predict PM 2.5 one day in advance, a Long Short Term Memory Network is used. The findings demonstrate that PM 2.5 is predicted more accurately. This study is interesting because it can be used by government agencies, businesses, and citizens alike to make informed decisions.

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Pollution Research Environmental Science-Water Science and Technology

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期刊介绍： POLLUTION RESEARCH is one of the leading enviromental journals in world and is widely subscribed in India and abroad by Institutions and Individuals in Industry, Research and Govt. Departments.