Resonance category

Resonance Category

The main purpose of this paper is to introduce a new category, which we call a resonance category, whose combinatorics reflect that of canonical stratifications of n-fold symmetric smash products. The study of the stratifications can then be abstracted to the study of functors satisfying certain sets of axioms, which we name resonance functors. One frequently studied stratification is that of t...

Category Art: a Variation on Adaptive Resonance Theory Neural Networks

In this paper we describ� Category ART, a variation on the adaptive resonance theory (ART) neural network models. Category ART is a predictive ART architecture because it incorporates an ART module to be able to learn to predict a prescribed category given a prescribed n-dimensional input vector a. In contrast to ARTMAP, Category ART contains only one ART module and the map field algorithm has ...

A knowledge-resonance (KRES) model of category learning.

This article introduces a connectionist model of category learning that takes into account the prior knowledge that people bring to new learning situations. In contrast to connectionist learning models that assume a feedforward network and learn by the delta rule or backpropagation, this model, the knowledge-resonance model, or KRES, employs a recurrent network with bidirectional symmetric conn...

Running-head: Knowledge-Resonance Model (KRES) A Knowledge-Resonance (KRES) Model of Category Learning

This article introduces a connectionist model of category learning that takes into account the prior knowledge that people bring to new learning situations. In contrast to connectionist learning models that assume a feedforward network and learn by the delta rule or backpropagation, this model, the Knowledge-Resonance Model or KRES, employs a recurrent network with bidirectional symmetric conne...

Category of Polygroup Objects