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|Title:||ART-C: A neural architecture for self-organization under constraints||Authors:||He, J.
|Keywords:||Adaptive resonance theory
|Issue Date:||2002||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||URI:||http://scholarbank.nus.edu.sg/handle/10635/43213|
|Appears in Collections:||Staff Publications|
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