From 499ecbcdf786ecbcbeea99020b7e5136e28a7b02 Mon Sep 17 00:00:00 2001 From: Sasha Petrenko Date: Fri, 22 Apr 2022 18:27:04 -0500 Subject: [PATCH] Bump, correct software years --- Project.toml | 2 +- paper/paper.bib | 9 ++++----- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/Project.toml b/Project.toml index 58a4d000..9086d233 100644 --- a/Project.toml +++ b/Project.toml @@ -2,7 +2,7 @@ name = "AdaptiveResonance" uuid = "3d72adc0-63d3-4141-bf9b-84450dd0395b" authors = ["Sasha Petrenko"] description = "A Julia package for Adaptive Resonance Theory (ART) algorithms." -version = "0.4.2" +version = "0.4.3" [deps] Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b" diff --git a/paper/paper.bib b/paper/paper.bib index 4584c98e..9c419001 100644 --- a/paper/paper.bib +++ b/paper/paper.bib @@ -1,13 +1,13 @@ @misc{CNS_Software, title = {Boston University Cognitive and Neural Systems Technology Lab Software Repository}, - year = {2009}, + year = {2009 [Online]}, url = {http://techlab.bu.edu/resources/software/C51/index.html}, note = {Accessed 2022-04-22} } @misc{ACIL_GitHub, title = {Missouri University of Science and Technology Applied Computational Intelligence Laboratory GitHub Software Repository}, - year = {2022}, + year = {2022 [Online]}, url = {https://github.com/ACIL-Group}, note = {Accessed 2022-04-22} } @@ -15,7 +15,7 @@ @misc{ACIL_GitHub @misc{NuART-Py, author = {Islam Elnabarawy}, title = {NuART-Py: A Python Library of Adaptive Theory Neural Networks}, - year = {2019}, + year = {2019 [Online]}, url = {https://github.com/ACIL-Group/NuART-Py}, note = {Accessed 2022-04-22} } @@ -23,7 +23,7 @@ @misc{NuART-Py @misc{JavaART, author = {Xianshun Chen}, title = {java-adaptive-resonance-theory}, - year = {2018}, + year = {2018 [Online]}, url = {https://github.com/chen0040/java-adaptive-resonance-theory}, note = {Accessed 2022-04-22} } @@ -173,7 +173,6 @@ @article{Tan2019 journal = {Neural Networks}, keywords = {,Adaptive resonance theory,Memory encoding,Universal learning,adaptive resonance theory}, mendeley-groups = {ART,NN Special Issue}, - number = {xxxx}, pages = {58--73}, publisher = {Elsevier Ltd}, title = {Self-organizing neural networks for universal learning and multimodal memory encoding},