CS 152 Final Projects — Fall 2001

• Fractal Object Representation with Neural Networks, Todd Anderson

• Evolving a Sigma-Pi Network as a Network Simulator, Justin Basilico

• Latin Language Processing with a Neural Network, Jocelyn Chew

• Teaching a Computer to Play Poker, Ryan Crabb and Erin Sperry

• Recurrent Cascade Correlation and Pseudo-Random Noise Sequences, David Hopkins

• Weight Ordering in Feedforward Networks Trained with Genetic Algorithms, Eric Huang

• Optimizing BPNN Learning Rate and Momentum Using GAs, Cora Hussey and Roy Shea

• Neural Networks and Genetic Algorithms in an Artificial World, Elmer Kim

• Artificial Life Simulation Using Evolutionary Reinforcement Learning (ERL), Drew Levin and Steve Yan

• Teaching a Neural Network to Play Seven, Richard McKnight and Charles Bradford

• The Continued Evolution of Learning, Daniel Myers

• The Pentium Goes to Vegas: Training a Neural Network to Play Blackjack, Christine Spritke and Paul Ruvolo