Some novel analysis and learning methods for neural networks-Selected papers from the 5th International Symposium on Neural Networks

摘要

Over the past decades artificial neural networks have attracted many researchers and engineers due to its universal approximation capability to nonlinear maps, learning and generalization capability. This special issue of Neurocomputing presents 10 original articles, which are extended versions of selected papers from the 5th International Symposium on Neural Networks (ISNN2008), September 24-28, 2008. Beijing, China.