Neslihan Serap Sengor

TL;DR: In this article, the authors presented an application of layered artificial neural network controller (ANN) to study automatic generation control (AGC) problem in a four-area interconnected power system that three areas include steam turbines and the other area includes a hydro turbine.

TL;DR: In this paper, a load-frequency control problem in a three-area interconnected power system such that two areas include steam turbines and the other area includes a hydro turbine is considered, and a back propagation-through-time algorithm is used as a neural network learning rule.

TL;DR: Computer simulations on the interconnected power system with two areas that include reheater effect and also the governor deadband effect show that the artificial neural network control scheme proposed is effective in damping out oscillations resulted by load perturbations.

TL;DR: The results show that the proposed relatively simple model is capable of simulating the wide range of the performances of both normal subjects and prefrontal patients on the Wisconsin Card Sorting Test.

TL;DR: In this article, the authors used FAPESP Research, Disseminations and Innovation Center for Neuromathematics (CNPq) for postdoctoral research.