The larger the size of the data, structured or unstructured, the harder to understand and make use of it. One of the fundamentals to machine learning is feature selection. Feature selection, by reducing the number of irrelevant/redundant features, dramatically reduces the run time of a learning algorithm and leads to a more general concept. In this paper, realization of feature selection throug...

A technique for dynamic system parameter estimation by using artificialneural-network-like approximators is developed. The technique offers very high speed and high noise immunity. However, in cases where the number of unknown parameters and the estimation accuracy level required are high, the neural network needed to perform the task is rather complex. This causes the training process prohibit...

Iris recognition has been considered as one of the most reliable biometrics technologies in recent years due to its high reliability in person identification. In this paper, an iris recognition system has been proposed. The recognition system relies on four fundamental steps. The first step consists of iris localization using Circular Hough Transform (CHT). In the subsequent step, image is norm...

in this study, an artificial neural network was developed in order to analyze flexible pavement structure anddetermine its critical responses under the influence of standard axle loading. in doing so, more than 10000four-layered flexible pavement sections composed of asphalt concrete layer, base layer, subbase layer, andsubgrade soil were analyzed under the impact of standard axle loading. pave...

In this paper, using the three-phase induction motor fifth order model in a stationary twoaxis reference frame with stator current and rotor flux as state variables, a conventional backsteppingcontroller is first designed for speed and rotor flux control of an induction motor drive. Then in orderto make the control system stable and robust against all electromechanical parameter uncertainties a...

A method of creating a constitutive model layered rocks based on an artificialneural network (ANN) is reported in this work. The ANN gives implicitconstitutive function ∑ ∑n n1 F( E, ), relating the new state homogenizedstresses n 1 with old Σn and increment homogenized strains. first step to repeatedly run strain- controlled homogenisation onan uni-dimensional finite element periodic cell elas...

The building sector accounts for more than 70% of thetotal electricity use. Chillers consume 50% electrical energyduring seasonal periods With the growth sectorand climate change, it's essential to develop energy-efficient HVAC systemsthat optimize ever-increasing energy demand. This study aims anenergy consumption prediction model air-cooled chillers using machinelearning algorithms. is done b...