Title: A review on PCNN theory and applications

Authors: Shifei Ding; Jian Zhang; Han Zhao

Addresses: School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China; Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China ' School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China ' School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China

Abstract: Pulse coupled neural network (PCNN) is a new neural network model known as the third generation of artificial neural network. It was proposed through the study of the mammalian visual cortex pulse oscillation phenomenon, so PCNN has its biological basis. Over the past 20 years, PCNN has been a hot research field in digital image processing for its unique advantages. And there were also many achievements in other fields of the intelligent information processing. In this paper, we make a review of PCNN latest research progress about the algorithms theory and applications. It describes the basic pulse coupled neural network theory and models firstly, then analyse its features. Next you will see some improved network models and new applications of PCNN raised by researchers in recent years. Finally it pointed out the research and development prospects of PCNN in the future.

Keywords: pulse coupled neural network; PCNN; digital image processing; improved network models.

DOI: 10.1504/IJCI.2016.084108

International Journal of Collaborative Intelligence, 2016 Vol.1 No.4, pp.247 - 257

Received: 11 Jul 2016
Accepted: 25 Jul 2016
Published online: 12 May 2017 *

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