Morphology of the mobile sensor network can be controlled by self-assembly, and the adaptability of the system to the environment is therefore improved.
移动传感网络系统的自装配功能实现了对系统形态上的控制，提高了系统对环境的适应能力。
Simplifying building polygon by pattern recognition assisted by Neural Network and mathematical morphology.
利用神经元网络和数学形态学对建筑物多边形实现了模式识别化简。
A spatially-random network model by using measured pore morphology was then set up to simulate the pore scale flow processes, and to predict the soil water retention curve near saturation.
在此基础上建立了基于土壤孔隙形态学特征的随机网络模型，在孔隙尺度模拟了土壤中的水分运动过程，并预测了近饱和土壤水分特征曲线。
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