首页|Henan University of Technology Reports Findings in Machine Learning (Prediction of HPC compressive strength based on machine learning)
Henan University of Technology Reports Findings in Machine Learning (Prediction of HPC compressive strength based on machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Zhengzhou, People’s Re public of China, by NewsRx correspondents, research stated,“There is a complex high-dimensional nonlinear mapping relationship between the compressive strength ofHigh-Performance Concrete (HPC) and its components, which has great influenc e on the accurate predictionof compressive strength. In this paper, an efficien t robust software calculation strategy combiningBP Neural Network (BPNN), Suppo rt Vector Machine (SVM) and Genetic Algorithm (GA) is proposedfor the predictio n of compressive strength of HPC. 8 features were extracted from the previous li terature,and a compressive strength database containing 454 sets of data was co nstructed.”
ZhengzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningSupport Vector Machines
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