GitHub topics: evolutionary-rule-based-machine-learning
YNU-NakataLab/jUCS
A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
Language: Julia - Size: 3.11 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0
YNU-NakataLab/X-KAN
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
Language: Python - Size: 3.32 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 3 - Forks: 0
YNU-NakataLab/Beta4-UCS
Adapting Rule Representation With Four-Parameter Beta Distributions for Learning Classifier Systems
Language: Julia - Size: 4.41 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
YNU-NakataLab/XCS-Theory
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems
Language: C# - Size: 90.8 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
YNU-NakataLab/XCS-Binary-Coding
The XCS classifier system for binary-valued inputs written in C#
Language: C# - Size: 61.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
YNU-NakataLab/XCS-RealValue-Coding
The XCS classifier system for real-valued inputs written in C#
Language: C# - Size: 46.9 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0