PREDICTION OF FAILURE PROBABILITY FOR SOILSTRUCTURE INTERACTION SYSTEM USING MODIFIED ANFIS BY HYBRID OF FCM-FPSO

In this study, an efficient method is introduced to predict the stability of soil-structure interaction (SSI) system subject to earthquake loads. In the procedure of the nonlinear dynamic analysis, a number of structures collapse and then lose their stability. The prediction of failure probability is considered as stability criterion. In order to achieve this purpose, a modified adaptive neuro fuzzy inference system (ANFIS) is proposed by a hybrid of fuzzy c-means (FCM) and fuzzy particle swarm optimization (FPSO). To train the modified ANFIS, the input–output data are classified by a hybrid algorithm consisting of FCM-FPSO clustering. The optimum number of ANFIS fuzzy rules is determined by subtractive algorithm (SA). Results of illustrative examples demonstrate high performance of the modified ANFIS in comparison with the single ANFIS.

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