Evolving neural networks using the “Baldwin effect”
EJW Boers, MV Borst…�- Artificial neural nets�…, 2012 - books.google.com
This paper describes how through simple means a genetic search towards optimal neural
network architectures can be improved, both in the convergence speed as in the quality of
the final result. This result can be theoretically explained with the Baldwin effect, which is
implemented here not just by the learning process of the network alone, but also by
changing the network architecture as part of the learning procedure. This can be seen as a
combination of two different techniques, both helping and improving on simple genetic�…
network architectures can be improved, both in the convergence speed as in the quality of
the final result. This result can be theoretically explained with the Baldwin effect, which is
implemented here not just by the learning process of the network alone, but also by
changing the network architecture as part of the learning procedure. This can be seen as a
combination of two different techniques, both helping and improving on simple genetic�…
Evolving Neural Networks Using the “Baldwin Effect”
DW Pearson, NC Steele, RF Albrecht…�- Artificial Neural Nets and�…, 1995 - Springer
This paper describes how through simple means a genetic search towards optimal neural
network architectures can be improved, both in the convergence speed as in the quality of
the final result. This result can be theoretically explained with the Baldwin effect, which is
implemented here not just by the learning process of the network alone, but also by
changing the network architecture as part of the learning procedure. This can be seen as a
combination of two different techniques, both helping and improving on simple genetic�…
network architectures can be improved, both in the convergence speed as in the quality of
the final result. This result can be theoretically explained with the Baldwin effect, which is
implemented here not just by the learning process of the network alone, but also by
changing the network architecture as part of the learning procedure. This can be seen as a
combination of two different techniques, both helping and improving on simple genetic�…
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