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Substrate Plasticity

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Abstract

In this chapter we develop a method for the substrate to possess plasticity, and thus have the synaptic weights of its neurodes change through experience. We first discuss the ABC and the Iterative substrate learning rules popularized within the HyperNEAT neuroevolutionary system. Then we implement the said learning rules within our own system, through only just a few minor modifications to our existing architecture.

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© 2013 Springer Science+Business Media New York

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Sher, G.I. (2013). Substrate Plasticity. In: Handbook of Neuroevolution Through Erlang. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4463-3_17

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  • DOI: https://doi.org/10.1007/978-1-4614-4463-3_17

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4462-6

  • Online ISBN: 978-1-4614-4463-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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