Application of Fractional Order ABC and GA for Neural Network Training and Clustering Process
- DOI
- 10.1080/18756891.2015.1084712How to use a DOI?
- Keywords
- FAGA, Neural Network, Image Segmentation, Data Classification
- Abstract
Literature presents several search algorithms to find an item with specified properties from a search space defined by a mathematical formula or procedure. One of the widely accepted algorithms is optimization algorithm which can find the optimal element within a certain period of time if the search space is defined. Recent works formulate several problems as optimization problems which were then solved by many optimization algorithms. Accordingly, in a previous paper, a hybrid optimization algorithm, called FAGA was proposed using fractional order Artificial Bee Colony (ABC) and Genetic Algorithm (GA) for optimization to solve the existing benchmark problems. In this paper, we have planned to apply the FAGA algorithm to well defined-real time problems of neural network training and the clustering process. Through neural network training, data classification will be done by making use of FAGA algorithm as neural network training procedure. Similarly, medical image segmentation will be done using clustering process through FAGA algorithm. The performance of the FAGA algorithm in those two processes will be evaluated with different evaluation metrics and the comparison of the FAGA algorithm will be also carried out with the existing ABC and genetic algorithm.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - G. Lavanya AU - S. Srinivasan PY - 2015 DA - 2015/09/01 TI - Application of Fractional Order ABC and GA for Neural Network Training and Clustering Process JO - International Journal of Computational Intelligence Systems SP - 900 EP - 913 VL - 8 IS - 5 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2015.1084712 DO - 10.1080/18756891.2015.1084712 ID - Lavanya2015 ER -