有限元分析法是用于结构分析的矩阵方法，将一个由无限个质点构成并且有限个自由度的连续体划分成有限个小单元体所组成的集合体。

Finite element analysis is a matrix method for structure analysis. It divides a continuum composed of infinite material points and finite degree of freedom into an aggregation with finite small units.

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提出将目标状态按自由度划分，分别进行基于MAS的神经网络子网识别预测，利用MAS和神经网络的组网原理进行目标识别的思想，并对此进行仿真验证。

The method dividing the target state by freedom degrees and forecasting by MAS and neural network subnet is proposed. Correctness and evaluated antigen are tested by the simulation of example.

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