首页|Brno University of Technology Researchers Discuss Research in Machine Learning ( Real-time RSET prediction across three types of geometries and simulation traini ng dataset: A comparative study of machine learning models)
Brno University of Technology Researchers Discuss Research in Machine Learning ( Real-time RSET prediction across three types of geometries and simulation traini ng dataset: A comparative study of machine learning models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Brno, Czech Republic , by NewsRx correspondents, research stated, “Agent-based evacuation models prov ide useful data of the evacuation process, but they are not primarily designed f or use during an emergency.” Funders for this research include Technology Agency of The Czech Republic; Fakul ta Stavebni, Vysoke Uceni Technicke V Brne; Brno University of Technology. Our news correspondents obtained a quote from the research from Brno University of Technology: “The paper aims to test predicting RSET using a surrogate ML mode l trained on a simulation dataset with 60 samples. A total of 9 machine learning algorithms were tested on 3 simple geometries: bottleneck, stairway and walkway . A set of 7 spatial features was used to train the surrogate models. The result s showed a relatively good ability of Artificial Neural Network to learn in scen arios involving bottlenecks and stairways, with an R2: 0.99 on the testing datas et. In the walkway scenario, all models experienced a significant drop in perfor mance, with Gradient Boost performing the best (R2: 0.92).”
Brno University of TechnologyBrnoCze ch RepublicEuropeCyborgsEmerging TechnologiesMachine Learning
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