非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
介绍模糊数学的基本概念,建立了用于缺陷模糊模式识别的两种数学模型,即模糊集法与模糊聚类法。
The concept of fuzzy mathematics is described and two fuzzy pattern recognition models of flaws based on fuzzy set method and fuzzy cluster method have been established.
作者所建立的基于BP神经网络的“图象识别”数学模型对数字图象处理也具有一定的参考价值。
The digital image recognition mathematic model that based on the BP networks provided a reference to the process of digital image.
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