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Title: A Comparison of Genetic Algorithm Neural Network MLP In Patient
Page Link: A Comparison of Genetic Algorithm Neural Network MLP In Patient -
Posted By: project topics
Created at: Monday 02nd of May 2011 12:54:55 PM
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A Comparison of Genetic Algorithm & Neural Network (MLP) In Patient Specific Classification of Epilepsy Risk Levels from EEG
Signals –IEEE- – MATLAB

Abstract—
This paper is aimed to compare the performance of a
Genetic Algorithm (GA) and Multi- Layer Perceptron (MLP)
Neural network in the classification of epilepsy risk level from
Electroencephalogram (EEG) signal parameters. The epilepsy risk
level is classified based on the extracted parameters like energy,
variance, peaks, sharp and spike waves, duration, events and co ....etc

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Title: Parallelization of Genetic Algorithms and their applications
Page Link: Parallelization of Genetic Algorithms and their applications -
Posted By: seminars
Created at: Sunday 09th of May 2010 03:07:08 PM
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Project Abstract:
Parallelization of Genetic Algorithms and their applications. The aim of this project is to take up several Genetic Algorithms, parallelize them and test on Multi cores ....etc

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Title: Data Mining with Neural Networks and Genetic Algorithms
Page Link: Data Mining with Neural Networks and Genetic Algorithms -
Posted By: seminar class
Created at: Tuesday 01st of March 2011 12:50:48 PM
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Data Mining with Neural Networks and Genetic Algorithms
General Strategy

• Train Neural Network with representative data
• Use Genetic Algorithm to generate rule sets
• Evaluate performance of the rule sets
Training the Neural Network
• Only constraint on topology is that it must have the same number of inputs as categories (e.g., cap-shape, cap-surface, etc.) and the same number of outputs as classes (e.g., poisonous or edible)
• 3-layer perceptron appears to be model used for experiment with 7 ....etc

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Title: Genetic Algorithms DETAILS
Page Link: Genetic Algorithms DETAILS -
Posted By: seminar addict
Created at: Thursday 26th of January 2012 03:46:48 PM
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Genetic Algorithms


INTRODUCTION
A genetic algorithm (GA) is a procedure used to find approximate solutions to
search problems through application of the principles of evolutionary biology. Genetic
algorithms use biologically inspired techniques such as genetic inheritance, natural
selection, mutation, and sexual reproduction (recombination, or crossover). Along with
genetic programming (GP), they are one of the main classes of genetic and evolu ....etc

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Title: An Overview of Genetic Algorithms Part 1 Fundamentals
Page Link: An Overview of Genetic Algorithms Part 1 Fundamentals -
Posted By: seminar addict
Created at: Wednesday 25th of January 2012 03:11:38 PM
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An Overview of Genetic Algorithms  Part 1 , Fundamentals


Introduction
Genetic Algorithms GAs are adaptive methods which may be used to solve search and optimisation problems
They are based on the genetic processes of biological organisms Over many generations natural populations
evolve according to the principles of natural selection and survival of the ttest rst clearly stated by Charles
Darwin in The Origin of Species By mimicking this proc ....etc

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Title: genetic algorithms relay coordination matlab code
Page Link: genetic algorithms relay coordination matlab code -
Posted By:
Created at: Tuesday 09th of October 2012 03:00:16 PM
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i m syed mohammad zaffar student of m-tech in vnit nagpur my branch is ped ....etc

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Title: Neural Networks For Location Prediction In Mobile Networks
Page Link: Neural Networks For Location Prediction In Mobile Networks -
Posted By: seminar class
Created at: Friday 22nd of April 2011 01:33:36 PM
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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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Title: A near-optimal multi cast scheme for mobile ad hoc networks using a hybrid genetic al
Page Link: A near-optimal multi cast scheme for mobile ad hoc networks using a hybrid genetic al -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:56:33 AM
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A near-optimal multi cast scheme for mobile ad hoc networks using a hybrid genetic algorithm
Abstract: Multi cast routing is an effective way to communicate among multiple hosts in a network. It outperforms the basic broadcast strategy by sharing resources along general links, while sending information to a set of predefined multiple destinations concurrently. However, it is vulnerable to component failure in ad hoc network due to the lack of redundancy, multiple paths and multicast tree structure. Tree graph optimization problems (GO ....etc

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Title: Genetic Algorithms
Page Link: Genetic Algorithms -
Posted By: smart paper boy
Created at: Thursday 28th of July 2011 12:39:57 PM
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Genetic Algorithms
And other approaches for similar applications
Optimization Techniques
Mathematical Programming
Network Analysis
Branch & Bound
Genetic Algorithm
Simulated Annealing
Tabu Search
Genetic Algorithm
Based on Darwinian Paradigm
Intrinsically a robust search and optimization mechanism
Conceptual Algorithm
Genetic Algorithm Introduction 1
Inspired by natural evolution
Population of individuals
Individual is feasible solution to problem
Each individual is characterized by a Fitnes ....etc

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Title: Parallelization of Genetic Algorithms and its Applications
Page Link: Parallelization of Genetic Algorithms and its Applications -
Posted By: project topics
Created at: Saturday 10th of April 2010 03:50:48 PM
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Parallelization of Genetic Algorithms and its Applications
Abstract:
The aim of this project is to take up several Genetic Algorithms, parallelize them and test on Multi cores. Analysis of speed up, associated problems and corresponding solutions need to be explored. ....etc

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