High reliability of boost converter with solar energy based on neural network

Abstract

in this proposed article, the boost converter BC with solar energyare used in the industrial systems to enhance the system classifications by interfacing with intelligent techniques. Although, the classical boost converter has some drawbacks like its complicated manufacturing with design to increase the system efficiency. Therefore, artificial system via feed forward neural networks FFNN with backpropagations BPis applied with system to optimize the whole system .The simulation results have the superiority over the other method and more sufficient with intelligent system.