Abstract
The architecture of an artificial neural network defines how its several neurons are arranged, or placed, in relation to each other. These arrangements are structured essentially by directing the synaptic connections of the neurons.
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© 2017 Springer International Publishing Switzerland
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da Silva, I.N., Hernane Spatti, D., Andrade Flauzino, R., Liboni, L.H.B., dos Reis Alves, S.F. (2017). Artificial Neural Network Architectures and Training Processes. In: Artificial Neural Networks . Springer, Cham. https://doi.org/10.1007/978-3-319-43162-8_2
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DOI: https://doi.org/10.1007/978-3-319-43162-8_2
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-43161-1
Online ISBN: 978-3-319-43162-8
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