29 Feb ART

Adaptive resonance theory suggests competitive models for neural network learning. The learning mechanism is flexible enough to accept new inputs and smart enough to filter out noise/irrelevant input. Self-stabilizing learning systems using ART simulate interactions between short- and long-term memory.
Keywords: perceptron
neural network
learning
filtering
References: algorithms
associationism
chaos
connectionism
fuzzy logic
learning
neural networks
pattern recognition