Bayesian Training of Neural Networks Using Genetic Programming
Tshilidzi Marwala · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
Bayesian neural networks trained using Markov chain Monte Carlo (MCMC) and genetic programming in binary space within Metropolis framework is proposed. It is tested and compared to classical MCMC method and is observed to give better results than classical approach.