Solving the inverse loop antenna radiation problem using a hybrid neuro-fuzzy system

This work presents an alternative method, based on artificial techniques, to manipulate the direct and inverse problems of circular loop antenna radiation, using data extracted from their analytical solutions. The adaptive network fuzzy inference system (ANFIS) has been used, as a basis for constructing a set of fuzzy rules with appropriate membership functions in order to obtain the theoretical data. The numerical results for both problems are found to be in excellent agreement with the exact theoretical values.