首页|Zhengzhou Technology and Business University Researchers Add New Findings in the Area of Intelligent Systems (Power quality disturbances categorization using Id entity Feature Vector and Extreme Learning Machine)

Zhengzhou Technology and Business University Researchers Add New Findings in the Area of Intelligent Systems (Power quality disturbances categorization using Id entity Feature Vector and Extreme Learning Machine)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on intelligent systems h ave been presented. According to news originatingfrom Zhengzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “Power qualitydisturba nces are variations or anomalies in the voltage, current, or frequency of electr ical power that canaffect the proper operation of electrical equipment. These d isturbances are usually classified into differentcategories based on their attr ibutes and effects.”

Zhengzhou Technology and Business Univer sityZhengzhouPeople’s Republic of ChinaAsiaIntelligent SystemsMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.26)