New Training Methods For Neural Networks

V. Scott Gordon, California State University, Sacramento

Stevenson Hall 1300
12:00 PM - 12:50 PM

Neural networks attempt to learn solutions to problems by emulating simplified neurons. They are becoming increasingly popular for helping solve complex problems such as vehicle guidance, face identification, handwritten text recognition, and spam filtering. This talk presents research into new neural network training methods such as particle swarm optimization (PSO) and neighbor annealing, combined with a divide-and-conquer approach, which may enable neural networks to solve even larger problems.