首页|Findings in Machine Learning Reported from Dalian University of Technology (Mach ine Learning Models for Bedrock Condition Classification In Pavement Structure E valuation: a Comparative Study)
Findings in Machine Learning Reported from Dalian University of Technology (Mach ine Learning Models for Bedrock Condition Classification In Pavement Structure E valuation: a Comparative Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news originating from Dalian, People's Republic o f China, by NewsRx correspondents, research stated, "Pavement performance evalua tion based on modulus is crucial for controlling the overall performance of pave ments and decisions making throughout the pavement's life cycle. Falling weight deflectometer (FWD) tests are commonly employed to collect deflection data, whic h is subsequently back-calculated to get each layer's modulus." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Urumqi Transportation Research Project, Shanxi Province Tran sportation Research Project. Our news journalists obtained a quote from the research from the Dalian Universi ty of Technology, "However, existing studies lack a complete framework for incor porating the bedrock condition in the backcalculation process. Here, an integra ted process of pavement performance evaluation utilizing FWD tests is proposed, and the focus is on the classification of bedrock condition by modern classifica tion algorithms (BPNN, MLP, SVM, and RF) to determine the presence or absence of bedrock and its depth range. The implementation of classification process allow s for the inclusion of bedrock influence in the back-calculation process, thereb y improving the accuracy of modulus results. Results from the four classificatio n algorithms reveals that RF is the most suitable for classifying bedrock depth, exhibiting superior overall performance."
DalianPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningDalian University of Technol ogy
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