The simulated experiment on fuzzy face recognition show that it efficiently implements approximate identification of objects whose feature values are linguistic values.

模糊人脸识别模拟实验证明，在语言特征环境下，该分类模型有效地实现了语言模糊对象的近似辨识。

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This paper presents the application of an approximate nonlinear filter in the identification of gyro drift error model.

提出了应用近似非线性滤波技术，辨识陀螺漂移误差模型的方法。

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Since the identification method does not approximate the outputs of relay and process as sinusoidal signals, the obtained SOPDT model can represent the process dynamics more accurately.

由于该辨识方法没有将继电和过程输出近似为正弦信号， 获得的SOPDT模型能更准确地反映过程的动态特性。

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