NEURAL NETWORK BASED HEPATITIS DIAGNOSIS

The most important advantages using artificial neural networks is that this kind of system solves problems that are too complex for conventional technologies, do not have an algorithmic solution or the solution is too complex to be used.These characteristics have often appeared in medicine. Artificial neural networks have been successfully applied on various areas of medicine, such as: diagnostic systems, biomedical analysis, image analysis, drug deve ....etc

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Abstract:
This paper deals with the application of artificial neural networks (ANNs) to fault detection and location in extra high voltage (EHV) transmission lines for high speed protection using terminal line data. The proposed neural fault detector and locator were trained using various sets of data available from a selected power network model and simulating different fault scenarios (fault types, fault locations, fault resistances and fault inception angles) and different power system data (source capacities, source voltages, source angle ....etc

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Artificial Neural Network (ANN) is a system loosely modeled on human brain. It tries to obtain a performance similar to that of human?s performance while solving problems. As a computational system it is made up of a large number of simple and highly interconnected processing elements which process information by its dynamic state response to external inputs. Computational elements in ANN are non-linear and so the results come out through non-linearity can be more accurate than other methods. These non-linear computational elements will be work ....etc

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Am a final year b.tech student. As a part of my seminar vi choose my topic as ARTIFICIAL NEURAL NETWORK BASED POWER SYSTEM RESTORATOIN.But the problem that am facing now is, i need the ppt of my topic.that too in very clean and briefly explained.Is any one can please help me. ....etc

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In an increasingly competitive marketplace system complexity continues to grow, but time-to-market and lifecycle are reducing. The purpose of fault diagnosis is the isolation of faults on defective systems, a task requiring a high skill set.

This has driven the need for automated diagnostic tools. Over the last two decades, automated diagnosis has been an active research area, but the industrial acceptance of these techniques, particularly in cost-sensitive areas, has not been high.

This paper reviews this research, primarily covering r ....etc

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In an increasingly competitive marketplace system complexity
continues to grow, but time-to-market and lifecycle are reducing. The
purpose of fault diagnosis is the isolation of faults on defective
systems, a task requiring a high skill set.This
has driven the need for automated diagnostic tools. Over the last two
decades, automated diagnosis has been an active research area, but the
industrial acceptance of these techniques, particularly in
cost-sensitive areas, has not been high.This
paper reviews this research, primarily covering rul ....etc

[:=Read Full Message Here=:]

In an increasingly competitive marketplace system complexity continues to grow, but time-to-market and lifecycle are reducing. The purpose of fault diagnosis is the isolation of faults on defective systems, a task requiring a high skill set. This has driven the need for automated diagnostic tools. Over the last two decades, automated diagnosis has been an active research area, but the industrial acceptance of these techniques, particularly in cost-sensitive areas, has not been high. This paper reviews this research, primarily covering rule-base ....etc

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Prepared by:
M.CHANDANA
P.HARITHA




Introduction

The fault diagnosis of a power system provides an effective means to get information about system restoration and maintenance of the power system. Artificial intelligence has been successfully implemented on fault diagnosis and system monitoring. Expert systems are used by defining rules, for a fault diagnosis. In the present work particularly a new method of “AI” namely “Artificial Neural Network” is used as diagnosin ....etc

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a fault diagnosis platform for Radar circuit is developed here based on the PXI & GPIB Hybrid Bus and virtual instrument technology. Alongwith it a
fuzzy fault tree reasoning algorithm is also described. The platform has two main parts namely hardware and software. The hardware part again is built-in controller and 3 kind of virtual instruments namely digital storage oscilloscope,
digital multimeter and a spectrum analyzer.a fuzzy fault tree reasoning algorithm is used for constructing the software. an
expert knowledge database containing a ....etc

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AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS

INTRODUCTION:
The fault diagnosis of a power system provides an effective means to
get information about system restoration and maintenance of the power
system. Artificial intelligence has been successfully implemented on
fault diagnosis and system monitoring. Expert systems are used by
defining rules, for a fault diagnosis. In the present work particularly
a new method of AI namely Artificial Neural Network is used ....etc

[:=Read Full Message Here=:]