Evaluation of sands liquefaction potential based on SOFM neural network
Sheng-Liz Hao
Min-Qiang Li
Ji-Song Kou
Yan Liu
Manage. Sch., Tianjin Univ., China;
Abstract
SOFM (self-organizing feature mapping) neural network is applied to evaluate sands liquefaction potential. Based on the case-historic data and the professional norms, the SOFM network model with seven input parameters and four output sorts is set up to assess sands liquefaction potential. The testing results of practical examples show that the evaluation model of sands liquefaction based on SOFM neural network is feasible and effective, therefore, it provides a new research approach to assess sands liquefaction potential.
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