首页|Researchers at China Earthquake Administration Report Research in Machine Learni ng (Using Automated Machine Learning for Spatial Prediction-The Heshan Soil Subg roups Case Study)
Researchers at China Earthquake Administration Report Research in Machine Learni ng (Using Automated Machine Learning for Spatial Prediction-The Heshan Soil Subg roups Case Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Recently, numerous spatial p rediction methods with diverse characteristics have been developed.” Funders for this research include National Key Research And Development Program of China; Science And Technology Fundamental Resources Investigation Program of China; Lreis; Shaanxi Normal University. The news journalists obtained a quote from the research from China Earthquake Ad ministration: “Selecting an appropriate spatial prediction method, along with it s data preprocessing and parameter settings, presents a challenging task for man y users, especially for non-experts. This paper addresses this challenge by expl oring the potential of automated machine learning method proposed in artificial intelligent domain to automatically determine the most suitable method among var ious machine learning methods. As a case study, the automated machine learning m ethod was applied to predict the spatial distribution of soil subgroups in Hesha n farm. A total of 110 soil samples and 10 terrain variables were utilized in th e designed experiments. To evaluate the performance, the proposed method was com pared to each machine learning method with default parameters values or paramete rs determined by expert knowledge. The results showed that the proposed method t ypically achieved higher accuracy scores than the two alternative methods.”
China Earthquake Administration, Beijing , People’s Republic of China, Asia, Cyborgs, Emerging Technologies, Machine Lear ning
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