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Title: Perceptron Networks
Page Link: Perceptron Networks -
Posted By: seminar surveyer
Created at: Saturday 01st of January 2011 04:25:55 PM
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ABSTRACT
When it is time-consuming or expensive tomodel a plant using the basic laws of physics,
a neural network approach can be an alternative. From a control engineer’s viewpoint a twolayer
perceptron network is sufficient. It is indicated how to model a dynamic plant using
a perceptron network.


INTRODEUCTION
A neural network is basically a model structure and an algorithm for fitting the model to
some given data. The QHWZRUN DSSURDFK to modelling ....etc

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Title: INVESTIGATION OF THE SEQUENTIAL ACCELERATOR ON THE PERCEPTRON FOR PATTERN RECOGNITION
Page Link: INVESTIGATION OF THE SEQUENTIAL ACCELERATOR ON THE PERCEPTRON FOR PATTERN RECOGNITION -
Posted By: project topics
Created at: Wednesday 27th of April 2011 03:16:25 PM
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In machine learning methods, when the input data becomes extremely large, the current direct methods
require too large learning times and memory. This project investigates one sequential method to overcome this
problem. It is quite a simple method to implement and is tested using the Perceptron as the base classifier. The
perceptron converges very slowly. So it will be interesting to find out if the proposed accelerator can improve
significantly the computational times of this simple classifier. The student will try various investigations o ....etc

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Title: fuzzy logic and neural networks full report
Page Link: fuzzy logic and neural networks full report -
Posted By: seminar topics
Created at: Monday 29th of March 2010 01:57:05 AM
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Fuzzy Logic
Philosophical approach
Decisions based on degree of truth
Is not a method for reasoning under uncertainty that probability
Crisp Facts distinct boundaries
Fuzzy Facts imprecise boundaries
Probability - incomplete facts
Example €œ Scout reporting an enemy
Two tanks at grid NV 54 (Crisp)
A few tanks at grid NV 54 (Fuzzy)
There might be 2 tanks at grid NV 54 (Probabilistic)
Apply to Computer Games
Can have different characteristics of players
Strength: strong, medium, weak
Aggressiveness: meek, ....etc

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Title: artificial intelligence techniques in power systems full report
Page Link: artificial intelligence techniques in power systems full report -
Posted By: computer science technology
Created at: Monday 25th of January 2010 12:13:15 AM
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ARTIFICIAL INTELLIGENCE tECHNIQUES In POWERSYSTEMS

ABSTRACT
This paper reviews five artificial intelligence tools that are most applicable to engineering problems fuzzy logic, neural networks and genetic algorithms. Each of these tools will be outlined in the paper together with examples of their use in different branches of engineering.
INTRODUCTION
Artificial intelligence emerged as a computer science discipline in the mid 1950s. Since then, it has produced a number of powerful tools, many of which are of prac ....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: Development of a neural network applet set
Page Link: Development of a neural network applet set -
Posted By: project topics
Created at: Monday 19th of December 2011 11:05:12 PM
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Aim

The aim of this project is to:


Design and construct a set of Java applets (or one or more stand-alone applications) that simulate the operation of simple artificial neural network (ANN) models

Objectives / major tasks

In order to complete this project fully a student will have to:


Build and distribute programs that will run on a wide range of computing platforms (i.e. more than just Wintel boxes)
Simulate several simple ANN models (Perceptron, ADALINE, etcetera)
Design and implement simple graphical user inter ....etc

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Title: OPTIMAL BLENDING OF POLANGA OIL WITH DIESEL IN CI ENGINE USING ARTIFICIAL NEURAL NETW
Page Link: OPTIMAL BLENDING OF POLANGA OIL WITH DIESEL IN CI ENGINE USING ARTIFICIAL NEURAL NETW -
Posted By: projectsofme
Created at: Monday 27th of September 2010 01:38:49 PM
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This article is presented by:
Parthasarathi Mishra
Nigamananda Jena
Satyabrata Dhala
Chinmaya Mishra
Subhashree Pothal
Lopamudra Samal


D ....etc

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Title: Implementation of Multilayered Perceptron in Optical Character Recognition using Supe
Page Link: Implementation of Multilayered Perceptron in Optical Character Recognition using Supe -
Posted By: seminar presentation
Created at: Saturday 29th of May 2010 02:49:57 AM
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Neural network mechanisms are a relatively new and developing science in computer technologies. The particular area derives its basis from the way neurons interact and function in the natural animal brain, especially humans. The animal brain is known to operate in massively parallel manner in recognition, reasoning, reaction and damage recovery. All these seemingly sophisticated undertakings are now understood to be attributed to aggregations of very simple algorithms of pattern storage and retrieval. Neurons in the brain communicate with one a ....etc

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Title: ppt of dynamic signature verification using pattern recognition java
Page Link: ppt of dynamic signature verification using pattern recognition java -
Posted By:
Created at: Friday 09th of June 2017 11:58:07 AM
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Title: Neural Networks seminars report
Page Link: Neural Networks seminars report -
Posted By: Zigbee
Created at: Tuesday 17th of August 2010 08:39:40 PM
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INTRODUCTION
Neural networks, as used in artificial intelligence, have traditionally been viewed as simplified models of neural processing in the brain, even though the relation between this model and brain biological architecture is debated.
A subject of current research in theoretical neuroscience is the question surrounding the degree of complexity and the properties that individual neural elements should have to reproduce something resembling animal intelligence.
Historically, computers evolved from the von Neumann arc ....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: multilayer perceptron matlab code
Page Link: multilayer perceptron matlab code -
Posted By:
Created at: Friday 09th of November 2012 05:09:24 AM
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Title: Perceptron Networks
Page Link: Perceptron Networks -
Posted By: seminar surveyer
Created at: Saturday 01st of January 2011 04:25:55 PM
image perceptron, multivariable, perceptron java implementation, multilayer perceptron algorithm matlab code, multilayer perceptron backpropagation, perceptron java code, perceptron learning matlab code,





ABSTRACT
When it is time-consuming or expensive tomodel a plant using the basic laws of physics,
a neural network approach can be an alternative. From a control engineer’s viewpoint a twolayer
perceptron network is sufficient. It is indicated how to model a dynamic plant using
a perceptron network.


INTRODEUCTION
A neural network is basically a model structure and an algorithm for fitting the model to
some given data. The QHWZRUN DSSURDFK to modelling ....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: image perceptron
Page Link: image perceptron -
Posted By: pavithrashiva
Created at: Wednesday 07th of March 2012 11:52:20 PM
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