This paper presents the comparative analysis of Artificial Neural Network (ANN) based algorithms in maximum power
point tracking (MPPT) for solar photovoltaic system. The algorithms deployed in this paper are Bayesian Regularization (BR),
Levenberg- Marquardt (LM) and Scaled Conjugate Gradient algorithm (SCG).The MPPT model for solar photovoltaic system
was designed in MATLAB/Simulink environment and ANN toolbox was used to for analysis. For training 70% data was used
and rest 30% was used for validation and testing purpose, which was 15% each.