Several Approaches to Variable Selection by Means of Genetic Algorithms

Several Approaches to Variable Selection by Means of Genetic Algorithms

Marcos G. Pose (University of A Coruna, Spain), Alberto C. Carollo (University of A Coruna, Spain), José M.A. Garda (University of A Coruna, Spain) and Mari P. Gomez-Carracedo (University of A Coruna, Spain)
Copyright: © 2006 |Pages: 25
DOI: 10.4018/978-1-59140-902-1.ch007
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Abstract

This chapter shows several approaches to determine how the most relevant subset of variables can perform a classification task. It will permit the improvement and efficiency of the classification model. A particular technique of evolutionary computation, the genetic algorithms, is applied which aim to obtain a general method of variable selection where only the fitness function will be dependent on the particular problem. The solution proposed is applied and tested on a practical case in the field of analytical chemistry to classify apple beverages.

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Table of Contents
Preface
Alejandro Pazos
Acknowledgments
Chapter 1
Ana B. Porto, Alejandro Pazos
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Neuroglial Behaviour in Computer Science
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Chapter 2
Eduardo D. Martin, Alfonso Araque
Artificial neural networks are a neurobiologically inspired paradigm that emulates the functioning of the brain. They are based on neuronal... Sample PDF
Astrocytes and the Biological Neural Networks
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Chapter 3
Paulo Cortez, Miguel Rocha, José Neves
This chapter presents a hybrid evolutionary computation/neural network combination for time series prediction. Neural networks are innate candidates... Sample PDF
Time Series Forecasting by Evolutionary Neural Networks
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Chapter 4
Julián Dorado, Nieves Pedreira, Mónica Miguelez
This chapter presents the use of Artificial Neural Networks (ANN) and Evolutionary Computation (EC) techniques to solve real-world problems... Sample PDF
Development of ANN with Adaptive Connections by CE
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Chapter 5
Daniel Manrique, Juan Rios, Alfonso Rodriguez-Paton
This chapter describes genetic algorithm-based evolutionary techniques for automatically constructing intelligent neural systems. These techniques... Sample PDF
Self-Adapting Intelligent Neural Systems Using Evolutionary Techniques
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Chapter 6
Daniel Rivero, Miguel Varela, Javier Pereira
A technique is described in this chapter that makes it possible to extract the knowledge held by previously trained artificial neural networks. This... Sample PDF
Using Genetic Programming to Extract Knowledge from Artificial Neural Networks
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Chapter 7
Marcos G. Pose, Alberto C. Carollo, José M.A. Garda, Mari P. Gomez-Carracedo
This chapter shows several approaches to determine how the most relevant subset of variables can perform a classification task. It will permit the... Sample PDF
Several Approaches to Variable Selection by Means of Genetic Algorithms
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Chapter 8
Juan R. Rabunal, Juan Puertas
This chapter proposes an application of two techniques of artificial intelligence in a civil engineering area: the artificial neural networks (ANN)... Sample PDF
Hybrid System with Artificial Neural Networks and Evolutionary Computation in Civil Engineering
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Chapter 9
Belén Gonzalez, M. Isabel Martinez, Diego Carro
This chapter displays an example of application of the ANN in civil engineering. Concretely, it is applied to the prediction of the consistency of... Sample PDF
Prediction of the Consistency of Concrete by Means of the Use of Artificial Neural Networks
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Chapter 10
J. Sethuraman
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Chapter 11
Robert Perkins, Anthony Brabazon
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Chapter 12
Music and Neural Networks  (pages 239-264)
Giuseppe Buzzanca
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Music and Neural Networks
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Chapter 13
Alfonso Iglesias, Bernardino Arcay, José M. Cotos
This chapter explains the foundations of a new support system for fisheries, based on connectionist techniques, digital image treatment, and fuzzy... Sample PDF
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Chapter 14
Kun-Chang Lee, Tae-Young Paik
Cost managers working in manufacturing firms have suffered from the difficulty of determining an optimal cost control strategy. Though the concept... Sample PDF
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Chapter 15
Tarun Bhaskar, Narasimha Kamath B.
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Chapter 16
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