As the airline industry is ever expanding, companies are increasing their fleet sizes to obtain
greater market shares. Moreover, as the airlines seek more growth, the complexity and size …

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 …

The semi-autonomous particle swarm optimizer (SAPSO)[1] is a relatively recent algorithm
for global continuous optimization based on gradient direction and diversity controlling …

Gravitational search algorithm (GSA) is a population-based heuristic algorithm, which is
inspired by Newton's laws of gravity and motion. Although GSA provides a good …

Solving the slow convergence of the traditional neural network and searching for weights in
Feed Forward Neural Network (FNN) is important to achieve the minimum training error. This …

The iris dataset will be classified using the support vector machine and decision tree
algorithms. flower dataset identifies the pattern and classifies it. The dataset has 150 rows …

This paper investigates whether rotational variance and information exchange affect the
performance of Particle Swarm Optimization (PSO) algorithms. Four PSO versions which …

Artificial neural networks are decision-making mechanisms inspired by the human nervous
system. Many areas are widely used such as medicine, economics, machine learning …

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 …