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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2935454
Abstract: The Generalized Adaptive Resonance Theory (GART) model is a supervised online learning neural network based on an integration of Adaptive Resonance Theory (ART) and the Generalized Regression Neural Network (GRNN). It is capable of online…
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Keywords:
regression;
model;
resonance theory;
egart model ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3186479
Abstract: Adaptive Resonance Theory (ART) is considered as an effective approach for realizing continual learning thanks to its ability to handle the plasticity-stability dilemma. In general, however, the clustering performance of ART-based algorithms strongly depends on…
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Keywords:
continual learning;
divisive hierarchical;
topological clustering;
adaptive resonance ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3160381
Abstract: This article presents an adaptive resonance theory predictive mapping (ARTMAP) model, which uses incremental cluster validity indices (iCVIs) to perform unsupervised learning, namely, iCVI-ARTMAP. Incorporating iCVIs to the decision-making and many-to-one mapping capabilities of this…
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Keywords:
cluster validity;
artmap;
resonance theory;
adaptive resonance ... See more keywords
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Published in 2019 at "International Journal of Engine Research"
DOI: 10.1177/1468087419846032
Abstract: Following the resonance theory by Bradley and co-workers, engine knock is a consequence of an auto-ignition in the developing detonation regime. Their detonation diagram was developed using direct numerical simulations and was applied in the…
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Keywords:
resonance theory;
resonance;
reynolds averaged;
averaged navier ... See more keywords
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Published in 2020 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2020.596409
Abstract: [This corrects the article DOI: 10.3389/fnhum.2019.00378.].
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Keywords:
easy part;
resonance theory;
problem resonance;
part hard ... See more keywords