Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks
John A. Bullinaria · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of risky learning strategies that lead to occasional instances of very poor performance. In this paper I shall present a series of simulations that explore the nature of those problems, and examine the extent to which one can use ensemble techniques to alleviate them.