Robotics & Machine Learning Daily News2024,Issue(Dec.5) :3-3.

Researchers from University of Zanjan Detail Findings in Machine Learning (Innov ative multi-temporal evapotranspiration forecasting using empirical fourier deco mposition and bidirectional long shortterm memory)

来自赞扬大学的研究人员详细介绍了机器学习的发现(使用经验傅立叶deco和双向长短期记忆的交互式多时蒸散预测)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :3-3.

Researchers from University of Zanjan Detail Findings in Machine Learning (Innov ative multi-temporal evapotranspiration forecasting using empirical fourier deco mposition and bidirectional long shortterm memory)

来自赞扬大学的研究人员详细介绍了机器学习的发现(使用经验傅立叶deco和双向长短期记忆的交互式多时蒸散预测)

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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-调查人员发布关于人工智能的新报告。根据新闻报道NewsRx记者在伊朗Zanjan报道,研究称,“参考蒸散量(ETo)是一个参考蒸散量。”与农业密切相关的环境变量。管理水和作物规划在很大程度上依赖于对ETo的精确预测。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Zanjan, Iran, by NewsRx journalists, research stated, “Reference evapotranspiration (ETo) is anessentia l environmental variable that is intimately significant to agriculture. Managing water and cropplanning relies heavily on precise forecasting of ETo.”

Key words

University of Zanjan/Zanjan/Iran/Asia/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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