Adaptive Resonance Theory Algorithms
Adaptive Resonance Theory is a well established neural network framework, developed at the Center for Adaptive Systems of Boston University. It is based on a solid study of mathematical models developed during many years [Grossberg, 1976], [Grossberg, 1980], [Carpenter, 1991a] and which made possible the invention of a series of architectures of Adaptive Resonance Theory (ART). There is an extensive variety of ART architectures. Furthermore, new architectures are being reported as we write these lines, and certainly more will appear in the future.
KeywordsInput Vector Input Pattern Class Vector ART1 Module Complement Code
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