ART
| Definition | : | Adaptive Resonance Theory |
| Category | : | Computing » Artificial Intelligence |
| Country/Region | : | Worldwide  |
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What does ART mean?
Adaptive Resonance Theory (ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information. The term “adaptive” and “resonance” refers to new learning (adaptive) without discarding the previous or the old information (resonance).
ART is a cognitive and neural theory of how the brain autonomously learns to attend, categorize, recognize, and predict objects and events in a changing world.
ART refers to a number of neural network models that can autonomously carry out fast, incremental learning in response to a changing world, without erasing previously learned memories. It can address problems such as pattern recognition and prediction.
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Frequently Asked Questions (FAQ)
What is the full form of ART in Artificial Neural Networks?
The full form of ART is Adaptive Resonance Theory
What are the full forms of ART in Computing?
Adaptive Resonance Theory | Android RunTime
What are the full forms of ART in Worldwide?
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