Studies from Federal University Juiz De Fora Yield New Data on Machine Learning (A New Takagi-sugeno-kang Model for Time Series Forecasting)
联邦大学Juiz De Fora的研究产生了关于机器学习的新数据（时间序列预测的新takagi-sugeno-kang模型）
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摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者来自巴西Juiz de Fo Ra的新闻报道，研究表明，“模糊推理系统由一个结合准确性和可解释性的机器学习概念组成。它们分为两大类：Mamdani和Takagi-Sugeno-Kang。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Juiz de Fo ra, Brazil, by NewsRx correspondents, research stated, “A fuzzy inference system consists of a machine learning concept that combines accuracy and interpretabil ity. They are divided into two main groups: Mamdani and Takagi-Sugeno-Kang.”
Key words
Juiz de Fora/Brazil/South America/Cyb orgs/Emerging Technologies/Machine Learning/Federal University Juiz De Fora
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