实验证明，模糊数据曲线确定的网络结构是接近最佳的，在训练速度和精度方面，效果优于神经网络建模算法。
Under the same condition, the precision and speed of fuzzy neural network algorithm was better than that of neural network.
通过仿真实验，采集蠕滑速度和粘着系数的数据，利用RV -TS模型对粘着特性曲线进行模糊建模。
According to the simulation data of slip velocity and adhesion coefficient, a fuzzy model, RV-TS model, is built to describe the adhesion characteristic curve.
通过仿真实验，采集蠕滑速度和粘着系数的数据，利用RV -TS模型对粘着特性曲线进行模糊建模。
According to the simulation data of slip velocity and adhesion coefficient, a fuzzy model, RV-TS model, is built to describe the adhesion characteristic curve.
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