A comprehensive fault diagnosis approach on nonlinear systems is studied by using uncertain information theory.

研究了基于不确定信息理论的非线性系统综合故障诊断方法。

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Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.

支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。

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Neural Networks, an embranchment of nonlinear control which does not dependent on mathematic model, is adapt to controlled systems of uncertainties and highly nonlinear.

神经网络控制是非线性控制的一个分支，它基本上不依赖于系统的数学模型，比较适合于具有不确定性和高度非线性的被控对象。

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