Statements (46)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:abbreviation |
ART
|
| gptkbp:application |
speech recognition
diagnosis image recognition anomaly detection data clustering |
| gptkbp:developedBy |
gptkb:Stephen_Grossberg
|
| gptkbp:feature |
online learning
incremental learning stability-plasticity dilemma |
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning cognitive science |
| gptkbp:hasConcept |
resonance
reset mechanism vigilance parameter category learning match tracking |
| https://www.w3.org/2000/01/rdf-schema#label |
Adaptive Resonance Theory
|
| gptkbp:influenced |
deep learning
modern neural network architectures |
| gptkbp:inspiredBy |
biological neural systems
|
| gptkbp:introducedIn |
1976
|
| gptkbp:notablePublication |
Carpenter, G.A. & Grossberg, S. (1987). A massively parallel architecture for a self-organizing neural pattern recognition machine.
Grossberg, S. (1976). Adaptive pattern classification and universal recoding: I. Parallel development and coding of neural feature detectors. |
| gptkbp:purpose |
pattern recognition
supervised learning unsupervised learning |
| gptkbp:relatedTo |
gptkb:Hebbian_learning
gptkb:self-organizing_maps backpropagation competitive learning |
| gptkbp:type |
recurrent neural network
|
| gptkbp:usedIn |
gptkb:signal_processing
robotics data mining pattern classification cognitive modeling |
| gptkbp:variant |
ARTMAP
Fuzzy ART ART 1 ART 2 ART 3 |
| gptkbp:bfsParent |
gptkb:Gail_Carpenter
|
| gptkbp:bfsLayer |
6
|