Introduction

摘要

Pattern recognition is a branch of artificial intelligence that focuses on the recognition of patterns and regularities in data. In many cases, these patterns are learned from labelled training data (supervised learning), but when no labelled data are available other algorithms can be used to discover previously unknown patterns (unsupervised learning). Pattern recognition and analysis have a wide range of applications in science, engineering, medical technology, diagnosis, security systems and many other fields. Intelligent techniques are also becoming popular and finding application in this emerging field because of their advantages over traditional mathematical and statistical techniques. This special issue is based on selected papers from the 11th International Conference on Cybernetic Intelligent Systems organised by the UK and Republic of Ireland Chapter of the IEEE Systems, Man and Cybernetics Society held at University of Limerick, Ireland in August 2012.