分析了提高钢丝绳局部缺陷定量检测分辩率的相关问题，提出了一种基于径向基函数网络的局部缺陷定量逼近新方法。

Improving resolution to quantitatively evaluate wire rope local fault is very important. A new method for evaluating the local fault based on radial basis function is presented.

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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。

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).

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