Now showing items 1-5 of 5
Predicting Stock Prices in Dubai Financial Market Using Neural Networks and the Polynomial Classifiers
Predicting stock prices has always been the aim of investors in stock markets around the globe and has been considered as one of the most challenging applications of modern Time Series Forecasting. Accordingly, there were ...
Model Based Control of Amine Sweetening Unit
Many industrial processes often exhibit significant non-linear behavior, and amine sweetening unit comprising absorption and regeneration towers is a typical example of such chemical processing plants. Conventional linear ...
System Identification Using Group Method of Data Handling (GMDH)
Recently, many researchers have had much interest in various methods for system identifications. Such methods involve soft computing techniques such as neural networks and fuzzy logic. Neural networks and fuzzy logics are ...
Mobile Robot Trajectory Tracking Using Neural Networks
This work primarily addresses the design and implementation of a neural network based controller for the trajectory tracking of a differential drive mobile robot. Two different neural network based tracking control algorithms ...
Predicting the Fatigue Failure of Fiber Reinforced Composite Materials Using Artificial Neural Networks
Artificial Neural Networks (ANN) have recently been used in modeling the mechanical behavior of fiberreinforced composite materials. ANN have also been successfully used in predicting the fatigue behavior of a certain ...