Browsing Masters Theses by Subject "Neural networks (Computer science)"
Now showing items 1-20 of 21
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Adaptive Neuro-Observer for Elastic Drive Systems
(2011-12)This work presents the design, implementation, testing, and validation of a Neural Network based observer for a real hardware elastic drive system. Diagonal recurrent neural network architecture and two types of controllers ... -
ANN Based Mechanistic Force Model for Face
(2011-06)Due to increased global competition and increased calls for environmentally benign machining processes, there has been more focus and interest in making processes more lean and agile to enhance efficiency, reduce emissions ... -
Autonomous Robot Navigation Based On Recurrent Neural Networks
(2012-05)The main objective of this research is to present a reactive navigation algorithm for wheeled mobile robots under non-holonomic constraints and in unknown environments. Two techniques are proposed: a geometrical based ... -
DNA Base-Calling
(2010-05)The human genome sequence, consisting of approximately three billion bases, was decoded in the last decade as a result of the Human Genome Project. Information derived from the genomic sequences of different species is ... -
Effect of Cooling Rate on the Mechanical Properties of Glass Fiber Polypropylene Composites
(2017-01)Composite materials have been widely used in the recent years in almost all of the industries specially the high technology industries. Properties of the thermoplastic-based composites are affected by their processing ... -
Mobile Robot Trajectory Tracking Using Neural Networks
(2009-12)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 ... -
Model Based Control of Amine Sweetening Unit
(2005-06)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 ... -
Modeling and Analysis of a Wavelet Network Based Optical Sensor for Vibration Monitoring
(2010)The main objective of this research is to present a wavelet network based optical lateral position sensor for vibration monitoring using a 2 2 photodetector array. In our approach, the power distribution of the light spot ... -
Modelling the Impact of Bottlenecks on Arterial Travel Time Using Neural Networks
(2012-06)Bottlenecks along signalized arterials are a major cause of capacity reduction and delay, which directly impact travel time along specific routes within an urban network. This research addresses the impacts of bottlenecks ... -
Neural Networks as a Convex Problem
(2016-09)We reformulated the problem of training the neural networks model into a convex optimization problem by performing a local quadratic expansion of the cost function and adding the necessary constraints. We designed a new ... -
Neuro-Wavelet Based Islanding Detection Technique
(2010-05)Integrating distributed generator into the existing distribution network is predicted to play an important role in the near future. Distributed generators, specifically renewable energy technologies, such as photovoltaic, ... -
Non-Linear Profile Monitoring Using Artificial Neural Network Fault Detection
(2018-04)In today’s world, the development of technology and industrial systems is becoming much more complex with the ever-demanding need for higher quality. Anomaly detection is the characterization of a normal behavior of a ... -
Novel Near-Field Microwave Testing Method for Outdoor Insulators
(2011-06)Outdoor insulators are very vital in providing energized overhead lines mechanical support and electrical insulation from grounded structures. Insulators can be divided according to the material they are made of into glass, ... -
Online Monitoring of Outdoor Non-Ceramic Insulators
(2011-06)Transmitting power using overhead lines is heavily used by power utilities due to their lower cost compared with underground cables. However, overhead lines have shown great influence on power system due to frequent power ... -
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
(2013-01)Forecasting stock prices is of critical importance for investors who wish to reduce investment risks. Forecasting is based on the idea that stock prices move in patterns. So far, it is understood that developed, emerging, ... -
Predicting Stock Prices in Dubai Financial Market Using Neural Networks and the Polynomial Classifiers
(2007-05)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 ... -
Predicting the Fatigue Failure of Fiber Reinforced Composite Materials Using Artificial Neural Networks
(2009-09)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 ... -
Semi-supervised Clustering of Facial Expressions
(2017-11)Automated facial expressions recognition (FER) is an important area in computer vision and machine learning due to its eminent role in human-machine interaction. FER is key in building intelligent user interfaces, particularly ... -
Statistical Modelling and Correlation of Membrane Distillation Data
(2014-07)Membrane distillation (MD) is a process in which the driving force for mass transfer is a temperature gradient rather than conventional gradients based on density, static pressure, chemical nature, affinity, or freezing ... -
System Identification Using Group Method of Data Handling (GMDH)
(2009-01)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 ...
