Models of BP artificial neural network for the forecast of dry season runoff in the Lower Yellow River are set up by using artificial neural network.
应用人工神经网络建立下游枯季迳流预测的BP神经网络模型。
By using the Neural Network Toolbox (NNT) of MATLAB, BP Artificial Neural Network Models are set up to predict the dry season Runoff in the Lower Yellow River.
本文利用MATLAB软件的神经网络工具箱(NNT)，建立下游枯季径流预测的BP神经网络模型。
Extremely uneven runoff distribution in a year and low water flow in dry season are causative of deterioration of the river water.
年内径流分配极不均匀、枯水期流量小是导致河流水质恶化的主要原因。
The upper reaches deforestation of Minjiang River presents positive correlation with the change of low water flow, which proves it is the main factor that generates decrease of runoff in dry season.
岷江上游森林破坏与枯水流量变化是呈正相关的，岷江上游森林破坏是引起枯水期径流减少的重要原因。
A rare dry-season downpour produced the thundering runoff.
一次非常干旱季节的倾盆大雨产生了雷鸣般的急流。
A rare dry-season downpour produced the thundering runoff.
一次非常干旱季节的倾盆大雨产生了雷鸣般的急流。
应用推荐