FORECASTING OF LARGE PEAK GROUND ACCELERATION USING COACTIVE ANFIS and SVM NEURAL NETWORK

Strong ground motions have important affects for the site,As a practical engineering design. specially accelerationStrong ground motions is one of the key factors in potential analysis the destruction is caused by earthquakes. In this paper, to estimate maximum peak ground acceleration in an area, two artificial neural network was used, by name Coactive Anfisand Support vector machine neural network, In C-Anfis network ,Becausethe rules of fuzzy logic are combined with neural algorithms,OneStrong network with high flexibility can be resulted . After different tests, Coactive ANFIS(C-ANFIS) network has maximum output correlation coefficient (0.82), Also has the least mean square error (LSSE=0.075).and SVM Network has maximum correlation coefficient (R=0.9955) and (LSSE=0.0014) .Therefore ,these two neural network aregood neural network which can estimate possible peak acceleration more than (1g) in an area.