A Comparative Analysis of Simplification and Complexification in the Evolution of Neural Network Topologies

@inproceedings{James2004ACA,
  title={A Comparative Analysis of Simplification and Complexification in the Evolution of Neural Network Topologies},
  author={Derek James and Philip Tucker},
  year={2004}
}
Approaches to evolving the architectures of artificial neural networks have involved incrementally adding topological features (complexification), removing features (simplification), or both. We will present a comparative study of these dynamics, focusing on the domains of XOR and Tic-Tac-Toe, using NEAT (NeuroEvolution of Augmenting Topologies) as the starting point. Experimental comparisons are done using complexification, simplification, and a blend of both. Analysis of the effects of each… CONTINUE READING
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