首页|Investigators from Chongqing University Report New Data on Machine Learning (Mac hine Learning-based Approach To Predict Thermal Comfort In Mixed-mode Buildings: Incorporating Adaptive Behaviors)
Investigators from Chongqing University Report New Data on Machine Learning (Mac hine Learning-based Approach To Predict Thermal Comfort In Mixed-mode Buildings: Incorporating Adaptive Behaviors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news originating from Chongqing, People's Republic of Ch ina, by NewsRx correspondents, research stated, "Mixed -mode (MM) buildings are designed to provide mechanical air conditioning and natural passive cooling as r egulated by occupants. This would enable the potential of shifting the narrow co mfort range in HVAC (heating, ventilation and air conditioning) buildings to a w ider range similar to NV (naturally ventilated) buildings." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of Science and Technology, China, Natural Science F oundation of Chongqing, SuDBE International Research Centre, China Scholarship C ouncil.
ChongqingPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningChongqing University
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