A flue temperature soft measurement model based on linear regression and RBF neural network was built to establish temperature feedback control.

基于线性回归和RBF神经网络构建火道软测量模型，为控制建立温度反馈环节。

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Study laws of distance discriminating results to red and green obstacles change with velocity at different depths distance and establish a linear regression model and BP neural network model.

针对不同空间距离和色调障碍物，建立距离判识结果随速度变化的一元线性回归模型及BP神经网络模型；

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Then take the quantitative research methods, establish regression model analysis and validation of these effects as assumed.

然后采取定量研讨办法，树立回归模子剖析这些影响身分和验证假定。

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