该方法利用模糊似然函数对样本数据进行聚类，并使模糊模型的结构辨识和参数辨识能同时完成，从而实现模糊模型的在线辨识。
The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.
先验模糊辨识方法是先获得点扩展函数的信息后再进行图像恢复，而迭代盲目反卷积方法是同时估计出清晰图像和点扩展函数。
Priori Blur Identification gets the PSF before restoration implementation, while Iterative Blind Deconvolution estimates the true image and the PSF at the same time.
提出了一种基于自适应模糊系统的径向基高斯函数系统辨识方法，与传统的系统辨识和仿真方法相比，更具有精确性与智能性。
The modeling based on the system recognition theory and using the least square method in the case of the partially linear relationship the simulation precision is greatly improved.
提出了一种基于自适应模糊系统的径向基高斯函数系统辨识方法，与传统的系统辨识和仿真方法相比，更具有精确性与智能性。
The modeling based on the system recognition theory and using the least square method in the case of the partially linear relationship the simulation precision is greatly improved.
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