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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2004 / Cilt: 4 - Sayı: 2

A data selection method for probabilistic neural networks

Tülay YILDIRIM
Bülent BOLAT
Pages
1137–1140
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The methods are applied to the Glass, Escheria Coli (E. coli) and Contact Lenses datasets, which have nonuniform class distributions and better accuracies than the reference works were achieved by PNN using these methods.

📌 3 Key Takeaways

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Objective & Hypothesis:In this paper, two performances increasing methods for datasets which have a nonuniform class distribution are presented.
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Key Findings & Data:The methods are applied to probabilistic neural networks (PNN).
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Conclusion & Impact:The methods are applied to the Glass, Escheria Coli (E. coli) and Contact Lenses datasets, which have nonuniform class distributions and better accuracies than the reference works were achieved by PNN using these methods.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, two performances increasing methods for datasets which have a nonuniform class distribution are presented. The methods are applied to probabilistic neural networks (PNN). Selection of a good training data is the most important issue. Therefore, a new data selection procedure including data exchange and data replication is proposed. After reaching the best accuracy by using the data exchange method, a data replication method is applied to the classes which have relatively less numbers of instances. The methods are applied to the Glass, Escheria Coli (E. coli) and Contact Lenses datasets, which have nonuniform class distributions and better accuracies than the reference works were achieved by PNN using these methods.

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Cite This Article

YILDIRIM, T., BOLAT, B. (2022). A data selection method for probabilistic neural networks. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 4 - Sayı: 2, 1137–1140. https://ajindex.com/articles/543866

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References (8)

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