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.
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.
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。
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