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AES
2007
Springer

MicroARTMAP for pattern recognition problems

8 years 12 months ago
MicroARTMAP for pattern recognition problems
Pattern recognition is an important aspect of a dominant technology such as machine intelligence. Domain specific fuzzy-neuro models particularly for the ‘black box’ implementation of pattern recognition applications have recently been investigated. In this paper, Sanchez’s MicroARTMAP has been discussed as a pattern recognizer/classifier for the image processing problems. The model inherently recognizes only noise free patterns and in case of noise perturbations (rotations/scaling/translation) misclassifies the images. To tackle this problem, a conventional Hu’s moment based rotation/scaling/translation invariant feature extractor has been employed. The potential of this model has been demonstrated on two problems, namely, recognition of alphabets and words and prediction of load from yield pattern of elasto-plastic analysis. The second example concerns with color images dealing with colored patterns. MicroARTMAP is also applied to other two civil engineering problems, nam...
Sundaramoorthy Rajasekaran, Vasantha Kalyani David
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2007
Where AES
Authors Sundaramoorthy Rajasekaran, Vasantha Kalyani David
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