ImpactU Versión 3.11.2 Última actualización: Interfaz de Usuario: 16/10/2025 Base de Datos: 29/08/2025 Hecho en Colombia
Aplicación de las redes neuronales artificiales en redes de difracción de Bragg para la compensación de ganancia no uniforme en amplificadores ópticos.
This work is a compilation of the development and testing of artificial neural networks type multilayer perceptron with backward propagation (Feed - forward backpropagation), trained under the secant method (one - step secant), and selected according to the mean square error , all created using the Matlab program, for the optimization of the characteristics (central frequency and length) of several Bragg diffraction gratings. With the purpose of using them in the compensation of non-uniform gain of the fiber amplifier doped with Erbium (EDFA) of an optical link of eight equidistant carriers located between 195 to 196.4 THz, simulated with the Optisystem 14 program.