Self-Evolving Neural Networks with Minimal Human Intervention

Abstract

Learning and evolution are two fundamental forms of adaptation. There has been a greatinterest in combining learning and evolution with artificial neural networks (ANN’s) in recentyears. This paper: 1) reviews different combinations between ANN’s and evolutionary algorithms(EA’s), including using EA’s to evolve ANN connection weights, architectures, learning rules,and input features;