MATLAB neural network toolbox is a powerful tool for system analyzing and designing of neural network.

MATLAB中的神经网络工具箱是进行神经网络系统分析与设计的有力工具。

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Using MATLAB6.5 BP neural network toolbox, compiles the structural damage detection process with the input parameters based on the modal parameters of frequency and mode shape.

以MATLAB6.5BP神经网络工具箱为基础，编写了基于频率平方变化和振型模态分量为输入参数的BP神经网络结构损伤识别程序。

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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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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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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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