桥墩局部冲刷深度模糊神经网络解的初步探讨

Fuzzy neural network solution for bridge local scouring depth in the alluvial river bed

结合模糊系统和神经网络的优点,建立模糊神经网络桥墩局部冲刷深度的预测模型.用收集到的桥墩局部冲刷数据样本训练并测试模糊神经网络模型.测试结果表明:由模糊神经网络模型得出的桥墩局部冲刷的模拟及预测值与实测值比较吻合.这说明该模糊神经网络模型预测桥墩局部冲刷深度是可行的、有效的.

The forecast model of bridge scouring depth,which is analyzed by fuzzy neural network which combined with the advantages of fuzzy theory and neural network,is established.The collected data of bridge local scour are adopted to train and test the model.The results show that the proposed method is feasible and effective in predicting bridge local scour.