AdaptiveResonance.jl

AdaptiveResonance.jl is a registered JuliaHub package, written in Julia for Adaptive Resonance Theory (ART) modules (documentation here). These algorithms are built upon a foundation of the adaptive resonance neural theory and implementations of Stephen Grossberg and Gail Carpenter. The contributions of the project are represented as an paper in the Journal of Open Source Software (JOSS).

The AdaptiveResonance.jl package is represented in the following locations:

• GitHub
• Documentation
• JuliaHub
• The Journal of Open Source Software (JOSS)

The project can be cited with the following BibTex entry:

@article{Petrenko2022,
  doi = {10.21105/joss.03671},
  url = {https://doi.org/10.21105/joss.03671},
  year = {2022},
  publisher = {The Open Journal},
  volume = {7},
  number = {73},
  pages = {3671},
  author = {Sasha Petrenko and Donald C. Wunsch},
  title = {AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms},
  journal = {Journal of Open Source Software}
}