本文根据实例采用人工神经网络方法就多因素综合判别膨胀土类级问题进行了研究，取得了满意的解估计。
The paper adopts the method of manual neural network which study many factors integrative estimate grades of swelling soils in terms of example, the result is very good.
该方法利用Curvelet多尺度几何分析后信号的稀疏性特点，采用了C - means聚类方法寻求混合矩阵估计值，把该估计值作为算法初始值。
According to signals sparsity by Curvelet transform, the mixed matrix can be estimated with C-means cluster analysis, and the estimated value is looked as initial value of BSS algorithm.
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