Open Access
An ecient ART1 Algorithm based on vector computation
Nicolae Popoviciu
- 01 Jan 2004
TL;DR: The work describes the ART1 (Adaptive Resonance Theory) algorithms in a vector form, not element by element as usually is done and gives all the dimensions for the vectors one used and this simplify the algorithm description and its using.
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Abstract: The work describes the ART1 (Adaptive Resonance Theory) algorithms in a vector form, not element by element as usually is done and gives all the dimensions for the vectors one used. This simplify the algorithm description and its using. We present in a compacted vector form two approaches of ART1: version 1 based on [3] and version 2 based on [2] and we obtain two ART1 algorithms. Then we apply both algorithms at the same numerical example. Version 2 supplies a better result. 2000 Mathematical Subject Classification: 68T05, 82C323.
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Citations
pART2: using adaptive resonance theory for web caching prefetching
TL;DR: The proposed model using ART-type networks provides a promising avenue for constructing accurate caching prefetching systems that are flexible and adaptive and produces a higher cache hit ratio than some of the traditional algorithms.
5
Generalized Net Model of the Cognitive and Neural Algorithm for Adaptive Resonance Theory 1
Todor Petkov,Sotir Sotirov +1 more
- 01 Jan 2013
TL;DR: A GN model is introduced that represent ART1 Neural Network learning algorithm to explain when the input vector will be clustered or rejected among all nodes by the network.
4
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