Because a logical or physical model is an abstraction of the real-world system, it is usually very complicated, and it consists of many building blocks and relationships.
由于逻辑或物理模型是现实中的系统的抽象，它通常非常复杂，由很多构建块和关系组成。
Because fault symptom space and fault space have complicated non-linear relations, the mathematical model of diagnosis system is difficult to build up.
由于故障征兆和故障类型之间常常存在复杂的非线性关系，使得诊断系统的数学模型很难获取。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
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