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Title: NEURAL NETWORK MODEL FOR DETECTING ANAMALOUS TRAFFIC IMPLEMENTING SELF-ORGANIZING MAP
Page Link: NEURAL NETWORK MODEL FOR DETECTING ANAMALOUS TRAFFIC IMPLEMENTING SELF-ORGANIZING MAP -
Posted By: computer science topics
Created at: Monday 07th of June 2010 08:53:59 PM
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A NEURAL NETWORK MODEL FOR DETECTING ANAMALOUS TRAFFIC IMPLEMENTING SELF-ORGANIZING MAPS
Presented By:
G Vijay Kumar 1 Sumalatha 2 A Ajay Kumar 3 K V Ramana

department of ECE, VR Siddhartha Engg. College, Vijayawada, India
Department of CSE, JNTU College of Engg., JNTU, Kakinada, India
Department of CSE, JNTU College of Engg., JNTU, Kakinada, India 4Department of CSE, Sri Prakash Engineering College, TUNI, Andhra Pradesh, India

ABSTRACT

Integrated Network-Based Ohio University Network ....etc

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Title: Information Management and Representation Using Topic Maps
Page Link: Information Management and Representation Using Topic Maps -
Posted By: nit_cal
Created at: Saturday 31st of October 2009 06:05:03 PM
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This project aims to create a Topic Map for FIFA World Cup 2006.

Creating the topic map for the FIFA world cup 2006.
Representing the resulting topic map in order to make the data and information available for the users.

Information Management and Representation Using Topic Maps ....etc

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Title: Application of Segmented 2-D Probabilistic Occupancy Maps for Robot Sensing and Navig
Page Link: Application of Segmented 2-D Probabilistic Occupancy Maps for Robot Sensing and Navig -
Posted By: Wifi
Created at: Friday 29th of October 2010 11:44:12 PM
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There has been a lot of research in the field of definition of the representation, the data fusion, and the generation of probabilistic occupancy maps. Here the occupancy maps are processed as textured images to extract meaningful information which is useful for the robot navigation. modern segmentation techniques' application is considered over the probabilistic occupancy maps. The local binary pattern and contrast is used as a basis for enhancements. The enhanced LBP/C segmentation technique handles occupancy uncertainty. free, unknown, and ....etc

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Title: Resolving IP Aliases in Building Traceroute-Based Internet Maps
Page Link: Resolving IP Aliases in Building Traceroute-Based Internet Maps -
Posted By: summer project pal
Created at: Saturday 29th of January 2011 09:37:04 PM
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Resolving IP Aliases in Building Traceroute-Based Internet Maps
A Seminar Report

by
INDU K. B.

Department of Computer Science & Engineering
College of Engineering Trivandrum
Kerala - 695016
2010-11

Abstract
Most router-level measurement studies utilize the well-known Internet debugging tool tracer-
oute or its variants. Traceroute returns a path from a local system to a given remote system by
tracing the routers in between. After the collection of the path traces, the infor ....etc

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Title: Self Organizing Maps
Page Link: Self Organizing Maps -
Posted By: computer science crazy
Created at: Wednesday 08th of April 2009 01:13:21 PM
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Definition

These notes provide an introduction to unsupervised neural networks, in particular Kohonen self-organizing maps; together with some fundamental background material on statistical pattern recognition.

One question which seems to puzzle many of those who encounter unsupervised learning for the first time is how can anything useful be achieved when input information is simply poured into a black box with no provision of any rules as to how this information should be stored, or examples of the various groups into which this informa ....etc

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Title: self organizing tree algorithm matlab code
Page Link: self organizing tree algorithm matlab code -
Posted By:
Created at: Tuesday 30th of October 2012 01:36:14 PM
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send me the matlab code for self organizing tree algorithm for image classification ....etc

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Title: anchoring script for college formal function in englishbased on self organizing map
Page Link: anchoring script for college formal function in englishbased on self organizing map -
Posted By:
Created at: Tuesday 30th of August 2016 09:09:02 AM
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I need a script for formal function that's inviting a guest lecturer to our college ....etc

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Title: Self Organizing Maps
Page Link: Self Organizing Maps -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:15:52 PM
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Definition

These notes provide an introduction to unsupervised neural networks, in particular Kohonen self-organizing maps; together with some fundamental background material on statistical pattern recognition.

One question which seems to puzzle many of those who encounter unsupervised learning for the first time is how can anything useful be achieved when input information is simply poured into a black box with no provision of any rules as to how this information should be stored, or examples of the various groups into which this informa ....etc

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Title: Fault-Tolerant and Bayesian Approaches to Self-Organizing Neural Networks
Page Link: Fault-Tolerant and Bayesian Approaches to Self-Organizing Neural Networks -
Posted By: seminar class
Created at: Monday 09th of May 2011 02:16:16 PM
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ABSTRACT :
Heterogeneous types of gene expressions may provide a better insight into the biological role of gene interaction with the environment, disease development and drug effect at the molecular level. In this paper for both exploring and prediction
purposes a Time Lagged Recurrent Neural Network with trajectory learning is proposed for identifying and classifying the gene functional patterns from the heterogeneous nonlinear time series microarray experiments. The pr ....etc

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Title: self organizing maps full report
Page Link: self organizing maps full report -
Posted By: computer science technology
Created at: Thursday 21st of January 2010 08:56:40 PM
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Unsupervised Neural Networks
ABSTRACT
Self organizing maps are generally used in many fields like bio-informatics, neural networks¦.It is basically used for the grouping of data. In decision making we reach a conclusion by making certain tests to the input given to the system. We will study the outputs obtained by the tests and reach a solution. Consider a decision making system which checks whether a cloth is wet or not. If we give the parameters of cloth we need to know whether it ....etc

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