Power level control of the TRIGA Mark-II research reactor using the multifeedback layer neural network and the particle swarm optimization
R Coban - Annals of Nuclear Energy, 2014 - Elsevier
In this paper, an artificial neural network controller is presented using the Multifeedback-
Layer Neural Network (MFLNN), which is a recently proposed recurrent neural network, for …
Layer Neural Network (MFLNN), which is a recently proposed recurrent neural network, for …
Prediction of an electromechanical system parameters using the Particle Swarm Optimization algorithm
In this study, the effect of the mechanical parts consisting of Tachometer/Gearbox, Digital
Encoder, Input and Output Potentiometers, a brake disc, transmission belt, and some …
Encoder, Input and Output Potentiometers, a brake disc, transmission belt, and some …