通过工况的识别以及模型参数的离线辨识和在线优化，混合模型可以准确地模拟复杂过程在大范围内的动态特性。
By recognition of work condition, off-line identification and on-line optimization of parameters, hybrid model can be used to simulate dynamics of complex process correctly in a large scale.
通过神经网络对一实际的油气藏系统进行建模和辨识，从而由新的神经网络模型可以获得参数识别结果。
After a practice oil or gas reservoir is modeled and identified by a neural network, the results of parameter identification are obtained by the new neural network model.
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。
The simulated experiment on fuzzy face recognition show that it efficiently implements approximate identification of objects whose feature values are linguistic values.
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