Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.
说明：基于粒子群的神经网络优化算法的应用，在土壤水分特征曲线中的应用。
The result shows that the values of computation agree with the experimental data fairly well through comparing calculating soil moisture characteristic curve with the experimental one.
结果表明，该模型的计算值与实测值吻合的非常好，说明通过优化法确定非饱和土壤水分特征曲线是可行的。
Strength, volumetric strain and permeability coefficient, and even moisture-distribution above ground water surface can be determined by the soil-water characteristic curve.
根据土水特征曲线可以确定非饱和土的强度、体应变和渗透系数，甚至可以确定地下水面以上水份分布。
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