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Reseach Article

Cancer Classification using Adaptive Neuro Fuzzy Inference System with Runge Kutta Learning

by C. Loganathan, K. V. Girija
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 4
Year of Publication: 2013
Authors: C. Loganathan, K. V. Girija
10.5120/13733-1530

C. Loganathan, K. V. Girija . Cancer Classification using Adaptive Neuro Fuzzy Inference System with Runge Kutta Learning. International Journal of Computer Applications. 79, 4 ( October 2013), 46-50. DOI=10.5120/13733-1530

@article{ 10.5120/13733-1530,
author = { C. Loganathan, K. V. Girija },
title = { Cancer Classification using Adaptive Neuro Fuzzy Inference System with Runge Kutta Learning },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 4 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number4/13733-1530/ },
doi = { 10.5120/13733-1530 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:11.269348+05:30
%A C. Loganathan
%A K. V. Girija
%T Cancer Classification using Adaptive Neuro Fuzzy Inference System with Runge Kutta Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 4
%P 46-50
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cancer research is one of the major research areas in the medical ?eld. Adaptive Neuro Fuzzy Interference System is used for the classification of Cancer. This algorithm compared with proposed algorithm of Adaptive Neuro Fuzzy Interference system with Runge Kutta learning method for the best classification of cancer. It is one of the better techniques for the classification of the cancer. The Adaptive Network-based Fuzzy Inference System is one of the well-known neural fuzzy controllers with fuzzy inference capability. For the cancer classification inputs are collected from the dataset of Lymphoma dataset and Leukemia dataset. In this paper, focused in classification of cancer by using ANFIS with RKLM.

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Index Terms

Computer Science
Information Sciences

Keywords

ANFIS RKLM ANFIS with RKLM.