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。

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BP network can approach any nonlinear function. Using this characteristic, vision system was calibrated. The network is designed and calculated with MATLAB neural network toolbox.

利用BP网络可以逼近任意非线性函数的特点，对视觉系统进行标定，并使用MATLAB中的神经网络工具箱进行网络的设计和计算。

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This artificial neural network technology to predict the scale of the field of mobile users, using MATLAB software to design prediction model for the size of mobile users based on BP neural network.

本文将人工神经网络技术应用到移动用户规模预测领域中，利用MATLAB软件设计出基于BP神经网络的移动用户规模预测模型。

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