Robotics & Machine Learning Daily News2024,Issue(Dec.2) :137-137.

Study Findings from University of Garmsar Broaden Understanding of Machine Learn ing (Air quality prediction and control systems using machine learning and adapt ive neuro-fuzzy inference system)

Garmsar大学的研究结果扩大了对机器学习(使用机器学习和自适应神经模糊推理系统的空气质量预测和控制系统)的理解

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :137-137.

Study Findings from University of Garmsar Broaden Understanding of Machine Learn ing (Air quality prediction and control systems using machine learning and adapt ive neuro-fuzzy inference system)

Garmsar大学的研究结果扩大了对机器学习(使用机器学习和自适应神经模糊推理系统的空气质量预测和控制系统)的理解

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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在一份新的报告中讨论了人工智能的新闻研究结果。根据新闻报道由NewsRx记者从加尔姆萨尔大学发起的研究表明,“准确预测”由于污染物与污染物相互作用的复杂性,空气质量浓度的测定是一项具有挑战性的任务对非线性过程的依赖"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on artificial intelligence are discussed in a new report. According to news reportingoriginating from the Univ ersity of Garmsar by NewsRx correspondents, research stated, “Accurately predicting air quality concentrations is a challenging task due to the complex interact ions of pollutants and theirreliance on nonlinear processes.”

Key words

University of Garmsar/Cyborgs/Emerging Technologies/Fuzzy Logic/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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