Artificial Bee Colony approach to parameters optimization of Pulse Coupled Neural Networks

Author

Gao, Kehan ; Duan, Haibin ; Xu, Yan ; Zhang, Yang ; Li, Zhuoshu

Author_Institution

Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, China

fYear

2012

fDate

25-27 July 2012

Firstpage

128

Lastpage

132

Abstract

Artificial Bee Colony (ABC) algorithm is a kind of newly developed bio-inspired intelligence. In this paper, we conduct a investigation on bees´ behaviors when seeking for food, and a method for optimizing parameters has been developed. By using this algorithm, we can obtain the best solution to many problems. Pulse Coupled Neural Networks (PCNN) is a kind of algorithm widely used in image processing. The current model of PCNN has several shortcomings, such as losing basic details of the original images. ABC algorithm is adopted to search the best value of PCNN parameters. In this way, the image can be enhanced to the fullest extent. Experimental results verified the feasibility and effectiveness of our proposed approach.

Keywords

image processing; neural nets; optimisation; ABC algorithm; artificial bee colony approach; bioinspired intelligence; image processing; parameters optimization; pulse coupled neural networks; Biological neural networks; Brain modeling; Educational institutions; Mathematical model; Neurons; Optimization; Signal processing algorithms; Artificial Bee Colony (ABC); Pulse Coupled Neural Networks (PCNN); image enhancement; parameters optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics (INDIN), 2012 10th IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4673-0312-5

Type

conf

DOI

10.1109/INDIN.2012.6301362

Filename

6301362