该评估模型不仅可以评估网络的总体风险，还可以分别评估各个局部要素可能引起风险的程度。

The model and method can not only evaluate the risk of the total network, but also evaluate the degree of risks of the parts in network.

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小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络，结构简单，收敛速度快，易于实现。

CMAC (Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation.

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针对复杂多变量系统难以建模的问题，采用多层局部回归神经网络离线建立其预测模型。

Aiming at the difficulties in modeling the complex MIMO system, the multilayer local recurrent neural network is used to build the predictive model of the process off-line.

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