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.