首页|Xinjiang University Researchers Detail Findings in Machine Learning (Interpretab le machine learning study of a collector based on combined twisted-tape and wavy -tape inserts)
Xinjiang University Researchers Detail Findings in Machine Learning (Interpretab le machine learning study of a collector based on combined twisted-tape and wavy -tape inserts)
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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 reportingoriginating from Urumqi, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Nowadays,th e efficiency of air collectors for solar thermal applications is still low, and many researchers tend touse machine learning to predict and model the performan ce of thermal systems, but most of the existingmachine learning methods are uni nterpretable, which poses a challenge for machine learning applications.”Financial supporters for this research include Science And Technology Department of Xinjiang UygurAutonomous Region.
Xinjiang UniversityUrumqiPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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