@article{article_168321, title={Optimisation Of A GPV By An Artificial Intelligence Technical}, journal={International Journal Of Renewable Energy Research}, volume={2}, pages={730–735}, year={2012}, url={https://izlik.org/JA82TU67SF}, author={Farid, Bouchafaa and Saida, Boukhalfa and Tarek, Aounallah}, keywords={GPV, MPPT. Fuzzy logic Control. Artificial neural network.}, abstract={This paper present two approaches for improving intelligence and performance optimization control of a photovoltaic system, the method further maximum power point tracking (MPPT) based on fuzzy logic method and artificial neural networks.The MPPT controller based neural networks, is developed and compared to the fuzzy logic algorithm. The results obtained under different operating conditions show that the system of control by fuzzy logic MPPT PV system is faster compared to the algorithm for neural networks against the latter is more stable than fuzzy logic.}, number={4}