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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)

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)

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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.”
机译:由一个新闻记者在网络新闻编辑每日新闻——最新数据网络在一份新报告中提出。新闻报道来自中华人民共和国NewsRx记者,研究说,”这篇文章提出了一种算法优化输入变量,成功的提高了发情的人工神经网络(ANN)模型。在美国和观察记录加拿大的长期的人行道上表演结构和建筑、气候、交通、和性能。”

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    《Network Daily News》 |2023年第4期|38-38|共1页
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