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Committee of Networks for Estimating Missing Data

Committee of Networks for Estimating Missing Data

Tshilidzi Marwala
Copyright: © 2009 |Pages: 23
ISBN13: 9781605663364|ISBN10: 1605663360|ISBN13 Softcover: 9781616925604|EISBN13: 9781605663371
DOI: 10.4018/978-1-60566-336-4.ch007
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MLA

Tshilidzi Marwala. "Committee of Networks for Estimating Missing Data." Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques, IGI Global, 2009, pp.142-164. https://doi.org/10.4018/978-1-60566-336-4.ch007

APA

T. Marwala (2009). Committee of Networks for Estimating Missing Data. IGI Global. https://doi.org/10.4018/978-1-60566-336-4.ch007

Chicago

Tshilidzi Marwala. "Committee of Networks for Estimating Missing Data." In Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-336-4.ch007

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Abstract

This chapter introduces a committee of networks for estimating missing data. The first committee of networks consists of multi-layer perceptrons (MLPs), support vector machines (SVMs) and radial basis functions (RBFs). The committee was constructed from a weighted combination of these three networks. The second, third and fourth committees of networks were evolved using a genetic programming approach and used the MLPs, RBFs and SVMs, respectively. The committee of networks was collectively implemented with hybrid particle-swarm optimization and a genetic algorithm for missing data estimation. They were tested on an artificial taster as well as HIV datasets and then compared to the individual multi-layer perceptron, radial basis functions and support vector regression for missing data estimation. It was found that the committee of network approach provided improved results over the three methods acting individually. However, this improvement comes with a higher computational load than does using the individual approaches. Furthermore, it is found that evolving a committee method was a good way of constructing a committee.

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