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In an ART2 (A) network, processes of pattern-matching and vigilance-testing must be based on the value of similarity of two patterns. The measurement of similarity in classical ART2 is something about the phases of pattern vectors. It doesn't work well when we must take the magnitude of a pattern into consider, or when process a great of samples which(More)
A new neural network architecture based on adaptive resonance theory (ART) is proposed and applied to color image segmen-tation. A new mechanism of similarity measurement between patterns has been introduced to make sure that spatial information in feature space, including both magnitude and phase of input vector, has been taken into consideration. By these(More)
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