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Title: artificial neural network seminars report
Page Link: artificial neural network seminars report -
Posted By: electronics seminars
Created at: Tuesday 05th of January 2010 07:09:09 PM
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1. INTRODUCTION
This seminar is about the artificial neural network application in processing industry. An artificial neural network as a computing system is made up of a number of simple and highly interconnected processing elements, which processes information by its dynamic state response to external inputs. In recent times study of ANN models have gained rapid and increasing importance because of their potential to offer solutions to some of the problem ....etc

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Title: FORECASTING DAILY PEAK LOAD OF GHANA USING RADIAL BASIS FUNCTION NEURAL NETWORK AND W
Page Link: FORECASTING DAILY PEAK LOAD OF GHANA USING RADIAL BASIS FUNCTION NEURAL NETWORK AND W -
Posted By: seminar presentation
Created at: Tuesday 18th of May 2010 11:55:21 PM
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Authors:
Emmanuel Asuming Frimpong
Philip Yaw Okyere

Abstract:
Load forecasting helps electricity utilities make important decisions such as purchasing and generating electric power, load switching and infrastructure development. Energy suppliers, financial institutions and other participants in electric energy generation, transmission, distribution and markets benefit from load forecasts. This paper proposes the combination of wavelet analysis and radial basis function (RBF) neural network as tools for STLF. The forecasting model ....etc

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Title: Artificial Neural Network Systems
Page Link: Artificial Neural Network Systems -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 02:02:44 AM
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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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Title: AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS
Page Link: AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS -
Posted By: computer science technology
Created at: Sunday 24th of January 2010 08:39:12 PM
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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

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Title: ARTIFICIAL NEURAL NETWORK BASED POWER SYSTEM RESTORATOIN
Page Link: ARTIFICIAL NEURAL NETWORK BASED POWER SYSTEM RESTORATOIN -
Posted By: computer science crazy
Created at: Monday 28th of December 2009 03:47:21 PM
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INTRODUCTION

The importance of electricity in our day to day life has reached such a stage that it is very important to protect the power system equipments from damage and to ensure maximum continuity of supply. But there are power system blackouts by which the continuous power supply is being interrupted. What is more important in the case of a blackout is the rapidity with which the service is restored. Now- a -days power system blackouts are rare. But whenever they occur, the effect on commerce, in ....etc

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Title: Artificial Neural Network Based Face Recognition System
Page Link: Artificial Neural Network Based Face Recognition System -
Posted By: nit_cal
Created at: Thursday 29th of October 2009 04:33:58 PM
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Abstract
Identify some unique feature in the face image of a person, and then extract that Feature and compare. The system Extract eye from the face image and the extracted Image is given to input layer of artificial neural network. After three levels of processing, this network will generate a string which will be compared to the string earlier stored in the database for that face image. If the generated string of the current image already exists in the database, then it can be concluded that the image data is already enter ....etc

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Title: ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC BASED POWER SYSTEM STABILIZER
Page Link: ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC BASED POWER SYSTEM STABILIZER -
Posted By: project topics
Created at: Friday 02nd of April 2010 02:26:39 PM
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ABSTRACT :


A fuzzy logic based adaptive power system stabilizer (PSS) is presented in this paper. The parameters of the fuzzy logic based PSS are tuned by neural networks. The system is divided into two subsystems, a recursive least square identifier with a variable forgetting factor for the generator and a fuzzy logic based adaptive controller to damp oscillations. The effectiveness of the proposed PSS in increasing the damping of local and inter area system; a two area 4 machine. The ANFIS PSS uses a zero order Sugeno type ....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: 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: artificial neural network
Page Link: artificial neural network -
Posted By: shilpig
Created at: Tuesday 20th of April 2010 03:16:41 PM
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