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。
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。
Methods and steps using the MATLAB neural net tool kit to design BP network are introduced in detail.
文章详细论述了利用MATLAB神经网络工具箱设计BP网络的方法和步骤。
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