Study on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Abstract

An Adaptive Neuro- Fuzzy Inference System is a kind of artificial neural network that is based on Takagi–Sugeno fuzzy inference system. In simple terms ANFIS is the data learning that utilizes fuzzy logic in order to transform the input to the output which is desired. This is done through highly interconnected Neural networks. This chapter presents Study on Adaptive Neuro-Fuzzy Inference System. In this study the prediction of shear contribution of FRP for the wrapped RC beams using an adaptive neuro-fuzzy inference system (ANFIS). In this study 7 internationally obtained guidelines are used for predicting the experiment result of the presented model. The result from this current study shows that the Adaptive Neuro- Fuzzy Interference System(ANFIS) can be used as the alternative for predicting the shear contribution of the FRP composite.