Application of RBF neural network and ANFIS for electromagnetic field prediction around the power lines

This paper presents novel approach based on the use of both radial basis function (RBF) network and adaptive network-based fuzzy inference system (ANFIS) to estimate electric and magnetic fields around an overhead power transmission lines. An RBF and ANFIS used to simulate this problem were trained using the results derived from the previous research. It is shown that proposed approach ensures satisfactory accuracy and can be a very efficient tool and useful alternative for such investigations.