首页|Researchers from Beijing Jiaotong University Report Recent Findings in Mathemati cs (The Investigation of Data Voting Algorithm for Train Air-braking System Base d On Multi-classification Svm and Anfis)
Researchers from Beijing Jiaotong University Report Recent Findings in Mathemati cs (The Investigation of Data Voting Algorithm for Train Air-braking System Base d On Multi-classification Svm and Anfis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Mathematics . According to news originating from Beijing, People's Republic of China, by New sRx correspondents, research stated, "The pressure data of the train air braking system is of great significance to accurately evaluate its operation state. In order to overcome the influence of sensor fault on the pressure data of train ai r braking system, it is necessary to design a set of sensor fault-tolerant votin g mechanism to ensure that in the case of a pressure sensor fault, the system ca n accurately identify and locate the position of the faulty sensor, and estimate the fault data according to other normal data." Financial support for this research came from National Key R&D Prog ram of China.
BeijingPeople's Republic of ChinaAsi aMathematicsAlgorithmsBeijing Jiaotong University
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