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>Findings from Anhui University of Science and Technology Update Knowledge of Artificial Neural Networks (Building an Improved Artificial Neural Network Model Based On Deeply Optimizing the Input Variables To Enhance Rutting Prediction)
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Findings from Anhui University of Science and Technology Update Knowledge of Artificial Neural Networks (Building an Improved Artificial Neural Network Model Based On Deeply Optimizing the Input Variables To Enhance Rutting Prediction)
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机译:Findings from Anhui University of Science and Technology Update Knowledge of Artificial Neural Networks (Building an Improved Artificial Neural Network Model Based On Deeply Optimizing the Input Variables To Enhance Rutting Prediction)
By a News Reporter-Staff News Editor at Network Daily News – Fresh dataon Artificial Neural Networks are presented in a new report. According to news reporting originating fromAnhui, People’s Republic of China, by NewsRx correspondents, research stated, “This paper proposes amethod based on a random forest algorithm to optimize the input variables, which suc-cessfully improvesthe prediction accuracy of the rutting artificial neural network (ANN) model. For testing, we collected 5,265historical observation records in the United States and Canada from the Long-Term Pavement Performancedatabase, including pavement structure and construction, climate, traffic, and performance.”
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