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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 ...
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, ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...