AI4R :: Artificial Intelligence for Ruby

AI4R is a collection of ruby algorithm implementations, covering several Artificial intelligence fields, and simple practical examples using them. A Ruby playground for AI researchers. It implements:

• Genetic algorithms
• Self-organized maps (SOM)
• Neural Networks
  • Multilayer perceptron with Backpropagation learning
  • Hopfield net
• Automatic classifiers (Machine Learning)
  • ID3 (Decision Trees)
  • PRISM (J. Cendrowska, 1987)
  • Multilayer Perceptron
  • OneR (AKA One Attribute Rule, 1R)
  • ZeroR
  • Hyperpipes
  • Naive Bayes
  • IB1 (D. Aha, D. Kibler - 1991)
• Data clustering
  • K-means
  • Bisecting k-means
  • Single linkage
  • Complete linkage
  • Average linkage
  • Weighted Average linkage
  • Centroid linkage
  • Median linkage
  • Ward's method linkage
  • Diana (Divisive Analysis)

Genetic Algorithms
Optimization of the Travelling salesman problem (NP-hard problem)

Neural networks
Simple OCR (recognition of visual patterns)

Automatic classifiers
Automatic identification of relevant marketing targets

1. Install the gem:

gem install ai4r

2. Include require statements in your code:

require "rubygems"
require "ai4r"
      

If you have questions or constructive comments about this project, send it to me: Sergio Fierens, email address: .

This project was created and is maintained by Sergio Fierens. There are other (great and absolutely cool) people who have donated time and code to make this project better, including:

• Thomas Kern
• Luis Parravicini
• Kevin Menard

This software is provided "as is" and without any express or implied warranties, including, without limitation, the implied warranties of merchantibility and fitness for a particular purpose.