The respective resistance properties for branch pipe were investigated through experiments and GRNN neural network when both conveying velocity and the flow valve opening of branch pipe were changed.

通过试验和GRNN神经网络对输送表观气速和两分支管路流量控制阀开度发生变化时，各分支管路中的阻力特性进行了研究。

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Aimed at solving the challenging problem of diagnosis for sensor bias and drift faults, a novel approach of sensor fault diagnosis based on generalized regression neural network (GRNN) is proposed.

针对诊断传感器偏置故障与漂移故障的难点问题，提出了一种基于广义回归神经网络(GRNN)的传感器故障诊断方法。

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The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).

介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。

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