Liquefaction Potential Assessment Using Fuzzy c-Means Clustering - Artificial Neural Network Hybrid Method (FCM-ANN)

liquefaction potential in terms of successful liquefaction prediction. As seen in Figure (2), M100 and M10 models reached 100 percent successful prediction. This is while the M1 achieved about 82 percent. Thus an 18% improvement is observed by using new method to evaluate liquefaction potential. Figure 2. The results of the different models in the evaluation of liquefaction potential. Besides, an advanced software system for the analysis of ANN and FCM-ANN methods was designed by the authors in Language C# with Microsoft Visual Studio 2012 and the SQL Server 2012 database entitled PILA (Professional Intelligent Liquefaction Assessment).