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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: Neural networks and fuzzy logic in electrical engineering control courses
Page Link: Neural networks and fuzzy logic in electrical engineering control courses -
Posted By: project uploader
Created at: Tuesday 06th of March 2012 07:42:58 PM
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Neural networks and fuzzy logic in electrical engineering control courses

Abstract
Control system education must include experimental exercises that complement the theory
presented in lectures. These exercises include modelling, analysis and design of a control system. Key
concepts and techniques in the area of intelligent systems and control have been discovered and
developed over the past few decades. While some of these methods have significant benefits to offer,
engineers are often reluctant to utilise new intelligent ....etc

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Title: refrigerator temperature control using fuzzy logic and neural network pdf
Page Link: refrigerator temperature control using fuzzy logic and neural network pdf -
Posted By:
Created at: Wednesday 26th of October 2016 10:42:37 AM
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Title: Cellular Neural Network CNN
Page Link: Cellular Neural Network CNN -
Posted By: computer science crazy
Created at: Sunday 21st of September 2008 02:16:45 PM
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Definition

Cellular Neural Network is a revolutionary concept and an experimentally proven new computing paradigm for analog computers. Looking at the technological advancement in the last 50 years ; we see the first revolution which led to pc industry in 1980's, second revolution led to internet industry in 1990's cheap sensors & mems arrays in desired forms of artificial eyes, nose, ears etc. this third revolution owes due to C.N.N.This technology is implemented using CNN-UM and is also used in imageprocessing.It can also implement any Boo ....etc

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Title: Adaptive Integral Position Control Using RBF Neural Networks for Brushless DC Motor
Page Link: Adaptive Integral Position Control Using RBF Neural Networks for Brushless DC Motor -
Posted By: seminar class
Created at: Monday 02nd of May 2011 06:48:32 PM
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Adaptive Integral Position Control Using RBF Neural Networks for
Brushless DC Linear Motor Drive
Abstract

The paper presents an adaptive integral positioncontroller usingRBF (Radial Basis Function) neural networks (NNs)for a brushless DC linear motor. By assuming that the upper boundsof the nonlinear friction and force ripple, an RBF NN is used forapproximating the friction, the force ripple and the load; an adaptivebackstepping control with integral action is then proposed to achieveposition tracking of the linear motor. The paramete ....etc

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Title: Artificial Neural Networks Based Power System Restoration
Page Link: Artificial Neural Networks Based Power System Restoration -
Posted By: computer science crazy
Created at: Sunday 21st of September 2008 12:20:04 PM
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Power System Restoration (PSR) has been a subject of study for many years. In recent years many techniques were proposed to solve the limitations of predetermined restoration guidelines and procedures used by a majority of system operators to restore a system following the occurrence of a wide area disturbance.

This paper discusses limitations encountered in some currently used PSR techniques and a proposed improvement based on Artificial Neural Networks (ANNs). This proposed scheme has been tested on a 162-bus transmission system and compa ....etc

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Title: ppt on neural control and coordination
Page Link: ppt on neural control and coordination -
Posted By:
Created at: Saturday 02nd of January 2016 08:33:08 PM
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Title: Neural Networks And Their Applications
Page Link: Neural Networks And Their Applications -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:28:39 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: DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING ARTIFICIAL NEURAL NETWORK
Page Link: DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING ARTIFICIAL NEURAL NETWORK -
Posted By: seminar addict
Created at: Tuesday 31st of January 2012 06:21:05 PM
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DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING ARTIFICIAL NEURAL NETWORK


INTRODUCTION
A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships . In the broader sense, a neural network is a collection of mathematical models that emulate some of the observed properties of biological nervous systems and draw on the analogies of adaptive biological learning. It is composed of a large number of hi ....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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