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Title: Transmission Line Fault Detection Phase Selection using ANN
Page Link: Transmission Line Fault Detection Phase Selection using ANN -
Posted By: project topics
Created at: Thursday 15th of April 2010 03:49:11 AM
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Abstract “
A novel application of neural network approach to protection of transmission line is demonstrated in this paper. Different system faults on a protected transmission line should be detected and classified rapidly and correctly. This paper presents the use of neural networks as a protective relaying pattern classifier algorithm. The proposed method uses current signals to learn the hidden relationship in the input patterns. Using the proposed approach, fault detection, classification and faulted phase selection could be achieve ....etc

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Title: Artificial Neural Network ANN
Page Link: Artificial Neural Network ANN -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:30:39 PM
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Definition
An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, thr ....etc

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Title: ANN FOR MISUSE DETECTION
Page Link: ANN FOR MISUSE DETECTION -
Posted By: smart paper boy
Created at: Saturday 09th of July 2011 06:06:08 PM
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Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expert systems to identify indications of known attacks. However, these techniques are less successful in identifying attacks which vary from expected patterns. Artificial neural networks provide the potential to identify and classify network activity based on limited, incomplete, and nonlinear data sources. Th ....etc

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Title: ANN for misuse detection
Page Link: ANN for misuse detection -
Posted By: project topics
Created at: Saturday 03rd of April 2010 08:15:32 PM
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Intrusion Detection Systems

The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. The individual creativity of attackers, the wide range of computer hardware and operating systems, and the ever changing nature of the overall threat to target systems have contributed to the difficulty in effectively identifying intrusions. While the complexities of host computers already made intrusion detection a difficult endeavor, the incre ....etc

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Title: ann for missuse detection
Page Link: ann for missuse detection -
Posted By: vaibhav karwa
Created at: Tuesday 11th of January 2011 05:03:23 PM
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Title: PERFORMANCE OF ANN BASED INDIRECT VECTOR CONTROL INDUCTION MOTOR DRIVE
Page Link: PERFORMANCE OF ANN BASED INDIRECT VECTOR CONTROL INDUCTION MOTOR DRIVE -
Posted By: seminar class
Created at: Wednesday 30th of March 2011 03:20:45 PM
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ABSTRACT
Indirect field orientation (IFO) induction machine drives are increasingly employed in industrial drivesystems, but the drive performance is often degrades. Motor works on best performance at certain voltageand frequency for certain loads. In this paper artificial neural network is used to predict the operatingvoltage and frequency when the load torque and speed going changed so motor efficiency is increased.Simulation and experimental results are shown to validate the scheme.
I. INTRODUCTION
Because of their easy imp ....etc

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Title: Process Optimization using ANN
Page Link: Process Optimization using ANN -
Posted By: akshay007
Created at: Friday 04th of February 2011 08:25:01 PM
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Title: Transmission Line Fault Detection Using ANN full report
Page Link: Transmission Line Fault Detection Using ANN full report -
Posted By: project topics
Created at: Tuesday 06th of April 2010 08:41:00 PM
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Transmission Line Fault Detection Using ANN

Introduction
What is ANN?

An artificial neural network(ANN) is an information processing paradigm that is inspired by the way

biological nervous system such as brain process information

Artificial Neural network are powerful in pattern recognition and classification

Salient Feature Of ANN

Fault Type Classifiers

Power Network Simulation

A 230Kv Power system is simulated by using EMTDC electromagnetic transient
program ....etc

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Title: Artificial Neural Network ANN
Page Link: Artificial Neural Network ANN -
Posted By: computer science crazy
Created at: Tuesday 23rd of September 2008 03:07:00 AM
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Definition
An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, thr ....etc

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Title: APPLICAION OF ANN CONTROLLER IN A FACTS DEVICE full report
Page Link: APPLICAION OF ANN CONTROLLER IN A FACTS DEVICE full report -
Posted By: seminar topics
Created at: Wednesday 31st of March 2010 10:10:52 AM
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Seminar on
APPLICAION OF ANN CONTROLLER IN A FACTS DEVICE : D-STATCOM

Under the guidance of Presented By
ANIL K.DAHIYA PROFFESOR G.SIVA VIKRAM YADAV
Dept of Electrical Engineering MTECH P.E.D - 208249
National Institute of Technology Kurukshetra Dept of Electrical Engineering,
Haryana-136119, India N.I.T. KUKUKS


Power Quality
The ideal quality of power supply is characterized by electric power energy with perfect sinusoidal waveform at constant frequency of specified constant voltage with least amount of inte ....etc

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