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首页> 外文期刊>Journal of Hydroinformatics >Gene-expression programming to predict scour at a bridge abutment
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Gene-expression programming to predict scour at a bridge abutment

机译：基因表达程序可预测桥基处的冲刷

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摘要

The process involved in the local scour at an abutment is so complex that it makes it difficult to establish a general empirical model to provide accurate estimation for scour. This study presents the use of gene-expression programming (GEP), which is an extension of genetic programming (GP), as an alternative approach to estimate the scour depth. The datasets of laboratory measurements were collected from the published literature and used to train the network or evolve the program. The developed network and evolved programs were validated by using the observations that were not involved in training. The proposed GEP approach gives satisfactory results compared with existing predictors and artificial neural network (ANN) modeling in predicting the scour depth at an abutment.
机译：基台局部冲刷过程非常复杂，以至于很难建立一个通用的经验模型来提供准确的冲刷估算。这项研究提出了基因表达编程（GEP）的使用，它是遗传编程（GP）的扩展，作为估计冲刷深度的替代方法。实验室测量数据集是从已出版的文献中收集的，用于训练网络或改进程序。通过使用不参与培训的观察结果验证了已开发的网络和已开发的程序。与现有的预测变量和人工神经网络（ANN）建模相比，所提出的GEP方法在预测桥基处的冲深方面具有令人满意的结果。

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