MicroARTMAP for pattern recognition problems

13 years 4 months ago

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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

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