“Artificial neural network” için 7 makale
MESLEKİ BİLİMLER DERGİSİCilt 2019/8, Sayı 1-legacy-5335
Supplying energy from renewable sources as long as possible is one of the most important requirements for sustainable development. Wind energy has an important role in Turkey in terms of the existing potential. A significant part of the consumed energy …
International Journal InternaukaCilt 2018/14, Sayı 14
In this article the authors make revive three general paradigms of the machines learning: “with educator”, “without educator” and combined. Displayed general researches on neuromodeling that may be interesting for engineers and scientists. Have been made the comparison of the …
International Journal InternaukaCilt 2018/11, Sayı 11
In this article the authors make the current review of machine learning algorithms in order to explain the principles on which they work and show examples of decisions based on them. The article will be considered: the main semantic of …
International Journal InternaukaCilt 2018/5, Sayı 5
The first attempts of technical reproduction process of thinking by creating artificial neural network models have been made by scientists in the mid-40 years of the 20th century. With the advent of computer technology, this problem has acquired a special …
Mediterranean Journal of Modeling and SimulationCilt 2015/1, Sayı 1
In this paper, an artificial neural network based-model (ANNBM) is introduced for partial shading detection losses in photovoltaic (PV) panel. A Multilayer Perceptron (MLP) is used to estimate the electrical outputs (current and voltage) of the photovoltaic module using the …
Eğitim ve BilimCilt 2013/38, Sayı 170
Faculties’ counseling systems need to take early action for problematic students by predicting and tracing student success and related problems. In this study, we compared two methods for predicting students’ success to take systematic and proactive actions for detecting and …
International Journal InternaukaCilt 2017/4, Sayı 4
The rationale for the use of intelligent control systems based on the technologies of neuro-fuzzy control and artificial intelligence is presented.