Neural Model of Dipole Antenna – Genetic Algorithm for Training Artificial Neural Networks with Backpropagation

نویسندگان

  • Petr Šmíd
  • Zbyněk Raida
چکیده

The paper deals with training the neural models of microwave structures. The first, an artificial neural network (ANN) is trained with basic genetic algorithm (GA). Training abilities are discussed. Further, the modification of GA and an approach to learning artificial neural networks (ANN) with backpropagation is described. Neural networks are implemented in MATLAB. Results of training abilities are compared. Finally, some ideas for improving the training process are mentioned.

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تاریخ انتشار 2005