Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming

@article{Mehmood2019IntegratedCI,
  title={Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming},
  author={Ammara Mehmood and Aneela Zameer and Sai Ho Ling and Ata ur Rehman and Muhammad Asif Zahoor Raja},
  journal={Neural Computing and Applications},
  year={2019},
  pages={1 - 21}
}
  • Ammara Mehmood, Aneela Zameer, +2 authors Muhammad Asif Zahoor Raja
  • Published in
    Neural Computing and…
    2019
  • Mathematics
  • In this paper, a novel application of biologically inspired computing paradigm is presented for solving initial value problem (IVP) of electric circuits based on nonlinear RL model by exploiting the competency of accurate modeling with feed forward artificial neural network (FF-ANN), global search efficacy of genetic algorithms (GA) and rapid local search with sequential quadratic programming (SQP). The fitness function for IVP of associated nonlinear RL circuit is developed by exploiting the… CONTINUE READING

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