Incremental Evolution and Development of Deep Artificial Neural Networks

EuroGP, pp. 35-51, 2020.

Cited by: 0|Bibtex|Views17|DOI:https://doi.org/10.1007/978-3-030-44094-7_3
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Other Links: dblp.uni-trier.de|arxiv.org|academic.microsoft.com

Abstract:

NeuroEvolution (NE) methods are known for applying Evolutionary Computation to the optimisation of Artificial Neural Networks(ANNs). Despite aiding non-expert users to design and train ANNs, the vast majority of NE approaches disregard the knowledge that is gathered when solving other tasks, i.e., evolution starts from scratch for each ...More

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