This thesis is concerned with Bayesian networks and their applications as inference mechanisms in conjunction with Geographic Information Systems. More specifically the problem that concerns us is the assessment of the risk of desertification of certain burned areas in Attica, Greece by combining data from various sources together with expert knowledge about the desertification process. The fir...

Ship target identification is of great significance in both military and civilian fields. Many methods have been proposed to identify the targets using tracks information. However, most existing studies can only two or three types targets, accuracy needs be further improved. Meanwhile, they do not provide a reliable probability result under high-noise environment. To address these issues, Bayes...

Automatic facial expressions recognition using vision is an important subject towards human-robot interaction. Here is proposed a human face focus of attention technique and a facial expressions classifier (a Dynamic Bayesian Network) to incorporate in an autonomous mobile agent whose hardware is composed by a robotic platform and a robotic head. The focus of attention technique is based on the...

The linear motor feed system has been in service complex working conditions for a long time, thus causing the nonuniform distribution of temperature field distribution. Thus, thermal error become key factor affecting motion accuracy. In order to maximize accuracy and efficiency compensation systems, an improved modeling method based on Bayesian neural networks is proposed combination with stron...

Introduction: C. elegans neural network is a good sample for neural networks studies, because its structural details are completely determined. In this study, the virtual neural network of this worm that was proposed by Suzuki et al. for control of movement was reconstructed by adding newly discovered synapses for each of these network neurons. These synapses are newly discovered in the actu...

Finding the collapse susceptible portion of a power system is one of the purposes of voltage stability analysis. This part which is a voltage control area is called the voltage weak area. Determining the weak area and adjecent voltage control areas has special importance in the improvement of voltage stability. Designing an on-line corrective control requires the voltage weak area to be determi...

Finding the collapse susceptible portion of a power system is one of the purposes of voltage stability analysis. This part which is a voltage control area is called the voltage weak area. Determining the weak area and adjecent voltage control areas has special importance in the improvement of voltage stability. Designing an on-line corrective control requires the voltage weak area to be determi...

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...