包塑石笼网箱挡土墙的基底及其密实度，底子网箱入土深度和外貌线长度及宽度，均应相宜描画需求。
Plastic coated gabion cages retaining wall of basement and its compactness, base area buried depth and the line length and width in appearance, should be fitting for drawing requirements.
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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