基于BP神经网络的旅游客源预测分析-毕业论文参考网 关键词：BP神经网络；线性神经网络；预测；客源 [gap=2078]Key words: BP neural net work; linear neural network; forecast; tourist-quantity
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线性神经网络(Linear network) 线性神经网络采用Widrow-Hoff学习规则，称为LMS(Least Mean Square)算法。
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并以此为基础通过线性神经网络测量流动噪声的渡越时间，进而测出流速。
The flow noise transit time estimation is given on the basis of mathematics model and linear neural networks, then the flow velocity of gas-solid two phase flow is measured.
根据其时间序列，建立线性神经网络模型，并将其用于地下水流量的动态预测。
Based on the time series, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据陀螺平台实测超高数据，采用LM算法对所设计的非线性神经网络进行训练。
According to the practical superelevation data measured with single-axis gyroscope platform, the designed non-linear neural network is trained with LM algorithm.
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