Sažetak In the present study, a novel neuro-controller is suggested for hard disk drive (HDD)
systems in addition to nonlinear dynamic systems using the Multifeedback-Layer Neural …

In this study, the Multifeedback-Layer Neural Network (MFLNN) weights are trained by the
Particle Swarm Optimization (PSO). This method (MFLNN-PSO) is applied to two different …

In this study, a quadratic regression model and a two layered layer recurrent neural network
(TLLRNN) method were used to model forecasting performance of the daily crude oil …

In this article, an autoregressive fractionally integrated moving average model (ARFIMA) and
a layer recurrent neural network (LRNN) were combined to form a hybrid forecasting model …

In this paper, the weights of the Multifeedback-Layer Neural Network (MFLNN) which has
recently proposed are trained by the Particle Swarm Optimization (PSO) algorithm. To …

Özet Bu çalışmada, bir DC motorun dinamik yapısının tanılanması için Çok Katmanlı-Geri
Beslemeli Sinir Ağı (MFLNN) kullanılmıştır. MFLNN ağı, ileri yönlü ve geri yönlü bağlantılar …