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通过对影响路面使用性能的因素分析,考虑己有预测模型的优缺点和应用情况,提出了神经网络与马尔可夫模型的相结合的组合预测模型对路面使用性能进行预测的方法,算例获得了较好效果。
By analyzing the factors influencing the pavement performance and considering the advantages and disadvantages of existing prediction models and their applications, a combined forecasting model based on neural networks and Markov models is proposed to predict the pavement performance. A better effect.