Attentive supervised learning and recognition by an adaptive resonance system

Author(s): Markuzon, N. | Reynolds, J.H. | Rosen, D.B. |

Year: 1992

Citation: In G.A. Carpenter & S. Grossberg (Eds.), Neural Networks for Vision and Image Processing, Cambridge, MA: MIT Press, 365-384.

Abstract: ARTMAP is a class of neural network architectures that employ attentional mechanisms to perform incremental supervised learning of recognition categories and multidimensional maps. The first ARTMAP system (Carpenter, Grossberg, and Reynolds, 1991) was used to classify binary vectors. this article describes a more general ARTMAP system that learns to classify analog as well as binary vectors...

Topics: Machine Learning, Models: ARTMAP, Fuzzy ARTMAP,

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