Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier

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...

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Detalles Bibliográficos
Autores principales: Selvakumari Jeya, I. Jasmine, Deepa, S. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5165232/
https://www.ncbi.nlm.nih.gov/pubmed/28050198
http://dx.doi.org/10.1155/2016/7493535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5165232/
https://www.ncbi.nlm.nih.gov/pubmed/28050198
http://dx.doi.org/10.1155/2016/7493535

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