Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

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

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
D. N. Sonar, U. V. Kulkarni
10.5120/ijca2017912769

D N Sonar and U V Kulkarni. Pruned Fuzzy Hypersphere Neural Network (PFHSNN) for Lung Cancer Classification. International Journal of Computer Applications 157(7):36-39, January 2017. BibTeX

@article{10.5120/ijca2017912769,
	author = {D. N. Sonar and U. V. Kulkarni},
	title = {Pruned Fuzzy Hypersphere Neural Network (PFHSNN) for Lung Cancer Classification},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {157},
	number = {7},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {36-39},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume157/number7/26845-2017912769},
	doi = {10.5120/ijca2017912769},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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

  1. Quteishat A., Lim C.P. and Tan K.S. 2010. A Modified Fuzzy Min-Max Neural Network with a Genetic-Algorithm-Based Rule Extractor for Pattern Classification IEEE Trans. on Systems.
  2. Carpenter G. and Tan A. 1995. Rule extraction: From neural architecture to symbolic representation.
  3. Simpson P.K. 1992. Fuzzy min-max neural networks-Part 1: Classification. IEEE Trans. neural networks.
  4. Kwan H.K. and Cai Y. 1994. A fuzzy neural network and its applications to pattern recognition. IEEE Trans. on fuzzy systems.
  5. Belacel N., Vincke P., Scheiff J.M. and. Boulassel R. Acute leukemia diagnosis aid using multicriteria fuzzy assignment methodology.
  6. Kulkarni U.V., Sontakke T.R. and Randale G.D. 2001. Fuzzy hyperline segment neural network for rotation invariant handwritten character recognition.
  7. Kulkarni U.V., Sontakke T.R. and Kulkarni A.B. 2001. Fuzzy hyperline segment clustering neural network for rotation.
  8. Gabrys B. and Bargiela A. 2000. General Fuzzy Min-Max Neural Network for Clustering and Classification. IEEE Trans. neural networks.
  9. Lin D. and Yan C. 2002. Lung Nodules Identification Rules Extraction with Neural Fuzzy Network. IEEE Processing on Neural Information.
  10. Kulkarni U.V., Doye D.D. and Sontakke T.R. 2002. General Fuzzy Hypersphere Neural Network. IEEE, IJCNN.
  11. Kulkarni U.V. and Sontakke T.R. 2001. Fuzzy Hypersphere Neural Network Classifier. published in proceedings of 10th IEEE conference on Fuzzy Systems held at University of Melbourne, Australia,
  12. Japanese Society of Radiological Technology (JSRT), http://www.jsrt.or.jp.

Keywords

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