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Pruned Fuzzy Hypersphere Neural Network (PFHSNN) for Lung Cancer Classification

by D. N. Sonar, U. V. Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 7
Year of Publication: 2017
Authors: D. N. Sonar, U. V. Kulkarni
10.5120/ijca2017912769

D. N. Sonar, U. V. Kulkarni . Pruned Fuzzy Hypersphere Neural Network (PFHSNN) for Lung Cancer Classification. International Journal of Computer Applications. 157, 7 ( Jan 2017), 36-39. DOI=10.5120/ijca2017912769

@article{ 10.5120/ijca2017912769,
author = { D. N. Sonar, U. V. Kulkarni },
title = { Pruned Fuzzy Hypersphere Neural Network (PFHSNN) for Lung Cancer Classification },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 7 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number7/26845-2017912769/ },
doi = { 10.5120/ijca2017912769 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:18.523199+05:30
%A D. N. Sonar
%A U. V. Kulkarni
%T Pruned Fuzzy Hypersphere Neural Network (PFHSNN) for Lung Cancer Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 7
%P 36-39
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper Pruned Fuzzy Hypersphere Neural Network (PFHSNN) is proposed which is an extension of Fuzzy Hypersphere Neural Network (FHSNN). A pruning procedure is incorporated into FHSNN after its leaning phase to reduce the network size. The experimental results for JSRT database show that PFHSNN is considerably superior in terms of training and recall time. It yields 91.66% recognition rate.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network Lung Nodule Fuzzy Hypersphere Neural Network (FHSNN) Pattern Classification

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