A proposed model of human consciousness system with applications in pattern recognition

Human recognition is a complex, efficient process which, for thousands of years, people have tried to analyse but have not yet fully understood. Recently, with advances in psychology, medicine and computer engineering in some research fields such as neural networks, fuzzy set theory, genetic algorithms, etc., people have tried to simulate the human brain and received significant results in the pattern recognition field. This paper proposes a model of a human consciousness system with applications in pattern recognition. The model explains how our brain saves, extracts and retrieves data. The model can recognise patterns with noise. Furthermore, when part of the model is damaged, the model can be required and re-used. An implementation of the model and some experimental results are also presented.