Optimization of adaptive resonance theory neural network using particle swarm optimization technique
K Satpute, R Kumar - Advances in Machine Learning and Data Science …, 2018 - Springer
With the advancement of computers and its computational enhancement over several
decades of use, but with the growth in the dependencies and use of these systems, more …
decades of use, but with the growth in the dependencies and use of these systems, more …
Adaptive developmental resonance network
Adaptive resonance theory (ART) networks, including developmental resonance network
(DRN), basically use a vigilance parameter as a hyperparameter to determine whether a …
(DRN), basically use a vigilance parameter as a hyperparameter to determine whether a …
[PDF][PDF] Adaptive resonance theory training parameters: pretty good sets
A Ramtha - Journal of Computer Science, 2010 - academia.edu
Problem statement: ART1 artificial neural networks offer good tools for test clustering, where
no expert is needed if the system is well trained. However, having no output reference for the …
no expert is needed if the system is well trained. However, having no output reference for the …
Bibliographic Entity Automatic Recognition and Disambiguation
H Al-Natsheh - cds.cern.ch
This master thesis reports an applied machine learning research internship done at digital
library of the European Organization for Nuclear Research (CERN). The way an author's …
library of the European Organization for Nuclear Research (CERN). The way an author's …