Hybrid system based on genetic algorithm with neural network to enhance the system

Mohammed musadaq jaafar

doi:10.30574/ijsra.2024.11.1.0223

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Hybrid system based on genetic algorithm with neural network to enhance the system

Mohammed musadaq jaafar ^*

Al-furat Al-awsat technical university, kufa, Iraq, technical institute of Babylon, Iraq.

Research Article

International Journal of Science and Research Archive, 2024, 11(01), 1496–1500.

Article DOI: 10.30574/ijsra.2024.11.1.0223

DOI url: https://doi.org/10.30574/ijsra.2024.11.1.0223

Publication history

Received on 27 December 2023; revised on 03 February 2024; accepted on 06 February 2024

Abstract

The nonlinear system is more complicated and has low response. In order to overcome this problem, the artificial intelligent by using genetic algorithm is used to optimize the system and to convert the system from complexity to linearity. In addition, neural network based on FFNN is applied for traing, testing, and validation the system via Matlab Simulink. The results shows that the system with hybrid GA-NN has the authority over the other systems.

Keywords

Nonlinear system; Genetic algorithm; Neural network; Low response

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