Improving Classification Performance in the Bumptree Network by Optimising Topology with a Genetic Algorithm


This paper presents a successful synthesis of evolutionary and connectionist methods, based on the genetic optimisation of a recently introduced neural network model, the bumptree network. We show that the bumptree network is inherently more suited to optimisation by a genetic algorithm (GA) than other neural network models such as the multi-layer… (More)
DOI: 10.1109/ICEC.1994.349901


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