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Dergiler / 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
Sayfa
1137–1140
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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 Maddede Bu Makale

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Amaç & Hipotez:In this paper, two performances increasing methods for datasets which have a nonuniform class distribution are presented.
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Temel Bulgular & Veri:The methods are applied to probabilistic neural networks (PNN).
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Sonuç & Katkı: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.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

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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Bu Makaleye Atıf Yap

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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Kaynakça (8)

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