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|Title:||ART-C: A neural architecture for self-organization under constraints|
|Authors:||He, J. |
|Keywords:||Adaptive resonance theory|
|Citation:||He, J.,Tan, A.-H.,Tan, C.-L. (2002). ART-C: A neural architecture for self-organization under constraints. Proceedings of the International Joint Conference on Neural Networks 3 : 2550-2555. ScholarBank@NUS Repository.|
|Abstract:||This paper proposes a novel ART-based neural architecture known as ART-C (ART under Constraints) that performs online clustering of pattern sequences subject to the constraints on the recognition category representation. Experiments on two real-life data sets show that ART-C produces reasonably good clustering qualities, with the added advantage of high efficiency.|
|Source Title:||Proceedings of the International Joint Conference on Neural Networks|
|Appears in Collections:||Staff Publications|
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