Self Organizing Maps and bit signature: A study applied on signal language recognition

• Published in: 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) Vol. 10; pp. 2934 - 2941
• Main Authors: Neris, M.N., Silva, A.J., Peres, S.M., Flores, F.C.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01-06-2008
• Subjects: Artificial neural networks; Distance measurement; Image recognition; Labeling; Neurons; Pattern recognition; Training
• ISBN: 1424418208; 9781424418206; 9781424432196; 1424432197
• ISSN: 2161-4393; 1522-4899; 2161-4407
• DOI: 10.1109/IJCNN.2008.4634211

Self organizing map (SOM) is a kind of artificial neural network with a competitive and unsupervised learning. This technique is commonly used to dataset clustering tasks and can be useful in patterns recognition problems. This paper presents an artificial neural network application to signals language recognition problem, where the image representation is given by bit signatures. The recognition results are promising and are presented in this paper. More, some analysis about the combination ldquoSOM + bit signaturerdquo improved our understanding about the characteristics of the LIBRAS signals and the conclusions are also listed in this paper.