A neural network framework implements from Encog

Play Twenty Questions against an A.I. developed using neural networks in Java

JavaFX Game that uses the AI technologies; Fuzzy Logic and Neural Networks to enhance the experience and to control a set of characters moving randomly through a game model.

NEAT based implementation of artificial life

🎓 4th year Artificial Intelligence project. Using the Encog library, it uses vector hashing in conjunction with K-Fold Cross Validation to train a neural network using the WiLI Language Dataset. This neural network can then be used to predict the language of an input.

This repository focuses on training a neural network to act as an auto-pilot controller for a plane navigating through an endlessly scrolling tunnel in a game environment.

A multithreaded Tomcat web-app with heuristic searches that generates a word cloud from the top (n) words associated with a chosen search term and categorizes the search term using a Neural Network

Autonomous Computer-Controlled Game Characters

Command-line Java program that can train an Encog Neural Network to detect multiple languages with an average of 85% accuracy.

Project of my master's degree in Computer Science ("Study and Research in Anti-Spam Systems") - Encog approach.