The Use of Artificial Neural Networks Optimized with Fire Fly Algorithm in Cancer Diagnosis

Authors : Mehmet BILEN, Ali Hakan ISIK, Tuncay YIGIT

Pages : 823-831

Doi:10.35378/gujs.471859

View : 21 | Download : 10

Publication Date : 2019-09-01

Article Type : Research Paper

Abstract :Today, the amount of biological data types obtained are increasing every day. Among these data types are micro arrays that play an important role in cancer diagnosis. The data analysis that are carried out through traditional approaches have proven unsuccessful in delivering efficient results on data types where data complexity is high and where sampling is low. For this reason, using a hybrid algorithm by merging the effective features of two distinct algorithms will yield effective results. In this study, a classification process was performed firstly by dimension reduction on micro array data that were obtained from the tissues from patients with a tumor in their central nervous system and then by using an artificial neural network algorithm that was optimized through Fire Fly Algorithm insert ignore into journalissuearticles values(FF);, a hybrid approach. The data obtained were compared to K Nearest Neighbors insert ignore into journalissuearticles values(KNN);, Support Vector Machine insert ignore into journalissuearticles values(SVM); and Artificial Neural Networks insert ignore into journalissuearticles values(ANN); classification algorithms, which are frequently used in the literature. Also, the results were compared to the findings that were obtained from artificial neural networks, which are reinforced by Genetic Algorithm insert ignore into journalissuearticles values(GA);, another hybrid approach. Then the results were shared. The performance results obtained show that hybrid approaches present a highly precise and more efficient classification process but they show a slower performance than basic classification algorithms.
Keywords : Cancer diagnosis, firefly algorithm, artificial neural networks, hybrid algorithms, optimization