Supervised adaptive resonance theory and rules
Supervised Adaptive Resonance Theory is a family of neural networks that performs incremental supervised learning of recognition categories (pattern classes) and multidimensional maps of both binary and analog patterns. This chapter highlights that the supervised ART architecture is compatible with...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2000
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/5234 https://ink.library.smu.edu.sg/context/sis_research/article/6237/viewcontent/SART_rule.pdf |
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| Institution: | Singapore Management University |
| Language: | English |