Estimation of self supporting towers natural frequency using Support vector machine

ABSTRACT: This paper discusses support vector machine for estimation of self supporting towers natural frequency. Decreasing structure vibration range and prevention of dynamic response decreasing are two suitable results in calculation of structures frequency and restricted them to defined values (or their maximize). Recently, support vector machine is used in complex events modeling. This study intends to provide a model in estimation of plate natural frequency using SVM. Structural risk minimization (SRM) principle is used in SVM but in other methods, empirical risk minimization (ERM) is used. In this research, using modal analysis and SAP2000 software, tower natural frequency is studied at the first ten modes. Then, obtained samples are analyzed using support vector machine to provide rules for simulation of estimated frequency in self supporting towers.