This document describes a neural network based maximum power point tracking (MPPT) control for a hybrid power generation system combining solar and wind energy. The system includes a photovoltaic array, wind turbine, multiple input buck-boost converter, voltage source inverter, filter and single phase load. The neural network controller is used to control the duty cycle of the converter switch to extract maximum power from the solar array. The objectives are to design the MPPT control for the hybrid system and evaluate the system using experimental results to provide continuous power generation and increased load stability.