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本文在分析推移质输沙率演变过程及其影响因素的基础上 ,概化为一种非线性的输入输出泛函关系 .而后以人工神经网络作用原理建立了推移质输沙率的反馈网络模型 .在变坡水槽中铺设天然沙 ,进行了九组不同流量、坡降及床沙组成的恒定流推移质输沙率试验 .对每组试验过程连续接沙 ,称取并记录每次接沙时间、输沙量及其最大粒径 ,直到床面粗化稳定为止 .以此试验资料对模型进行识别及模拟 ,显示了该推移质输沙率反馈网络模型具有较好的模拟预测效果
Based on the analysis of the evolvement process of the bed sediment transport rate and its influencing factors, this paper generalizes a nonlinear input-output functional relationship, and then establishes the feedback network model of the bed load transport rate based on the principle of artificial neural network The natural sand was laid in a variable slope tank, and nine sets of constant flow pumped bed sediment transport rate tests were carried out with different flow rates, slope descending and bed sediments. Time, the amount of sediment and its maximum particle size until the coarsening and stability of the bed.Take the test data to identify and simulate the model, it shows that the feedback bed model of the bedrock sediment transport rate has a good simulation prediction effect