Approximation capabilities of multilayer feedforward networks
Neural Networks
Fuzzy Systems as Universal Approximators
IEEE Transactions on Computers
Artificial intelligence techniques in power systems
Artificial intelligence techniques in power systems
Fuzzy Sets and Systems - Control and applications
Comparing ANFIS and SEM in linear and nonlinear forecasting of new product development performance
Expert Systems with Applications: An International Journal
Prediction of magnetic field near power lines by normalized radial basis function network
Advances in Engineering Software
Review: Hybrid expert systems: A survey of current approaches and applications
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Over the past several decades, concerns have been raised over the possibility that the exposure to extremely low frequency electromagnetic fields from power lines may have harmful effects on human and living organisms. This paper presents novel approach based on the use of both feedforward neural network (FNN) and adaptive network-based fuzzy inference system (ANFIS) to estimate electric and magnetic fields around an overhead power transmission lines. An FNN 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.