linkedin facebook twitter rss

ANS NetworkAuthor: Carpenter, G. & S. Grossberg
Title: The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network
Publication: IEEE Computer, 21, No. 3
Date: 1988
This particular issue of IEEE Computer has some outstanding works in neural modeling. The article cited here describes adaptive resonance theory (ART) and suggests competitive models for neural nets that learn. The trick is to make the learning mechanism flexible enough to adapt to important new inputs and smart enough to filter out noise or irrelevant inputs. Self-stabilizing learning mechanisms using ART are good for simulating interaction between short- and long-term memory.

neural networks
AI programming

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.