Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
70 Impact of Fuzzy ARTMAP Match Tracking Strategies on the Recognition of Handwritten Digits
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Applying fuzzy ARTMAP to complex real-world problems such as handwritten character recognition may lead to poor performance and a convergence problem whenever the training set contains very similar or identical patterns that belong to different classes. To circumvent this problem, some alternatives to the network's original match tracking (MT) process have been proposed in literature, such as using negative MT, and removing MT altogether. In this paper, the impact on fuzzy ARTMAP performance of different MT strategies is assessed using different patterns recognition problems — two types of synthetic data as well as a real-world handwritten digit data. Fuzzy ARTMAP...