Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier
Joint Authors
Deepa, S. N.
Jasmine Selvakumari Jeya, I.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
A proposed real coded genetic algorithm based radial basis function neural network classifier is employed to perform effective classification of healthy and cancer affected lung images.
Real Coded Genetic Algorithm (RCGA) is proposed to overcome the Hamming Cliff problem encountered with the Binary Coded Genetic Algorithm (BCGA).
Radial Basis Function Neural Network (RBFNN) classifier is chosen as a classifier model because of its Gaussian Kernel function and its effective learning process to avoid local and global minima problem and enable faster convergence.
This paper specifically focused on tuning the weights and bias of RBFNN classifier employing the proposed RCGA.
The operators used in RCGA enable the algorithm flow to compute weights and bias value so that minimum Mean Square Error (MSE) is obtained.
With both the lung healthy and cancer images from Lung Image Database Consortium (LIDC) database and Real time database, it is noted that the proposed RCGA based RBFNN classifier has performed effective classification of the healthy lung tissues and that of the cancer affected lung nodules.
The classification accuracy computed using the proposed approach is noted to be higher in comparison with that of the classifiers proposed earlier in the literatures.
American Psychological Association (APA)
Jasmine Selvakumari Jeya, I.& Deepa, S. N.. 2016. Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1100193
Modern Language Association (MLA)
Jasmine Selvakumari Jeya, I.& Deepa, S. N.. Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1100193
American Medical Association (AMA)
Jasmine Selvakumari Jeya, I.& Deepa, S. N.. Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1100193
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100193