Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.

利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。

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This paper puts forward a model of discovering and forecasting price trend in market, based on neural networks BP algorithms.

提出了一种利用神经网络BP算法模型于发现和预测商业市场价格变化趋势的模型。

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By using of BP neural networks, have established a user model based on those key factors which can be used in the design of the humanized web interface.

基于这些决定性因素，用神经网络的方法建立了一个用于个性化网站界面风格和布局设计的用户模型。

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