Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Look at classifier weka.classifiers.functions.MultilayerPerceptron

Source: Weka FAQ

 Related Tips

• I have written a module. Can I sell it?
• 2D texture font - NeHe Tutorial JOGL Port
• 3D Human Animation Applet
• 3D lens flare with occlusion testing - NeHe Tutorial JOGL Port
• 3D shapes - NeHe Tutorial JOGL Port
• A model with a light which is moved by a modeling transformation
• A Morph object to animate a shape between two key shapes
• A red sphere using the Sphere utility class