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Extension of localised approximation by neural networks
Published online by Cambridge University Press: 17 April 2009
Abstract
We prove generalised results for localised approximation by generalised translation networks. We also show the relationship between the minimum number of neurons in the generalised translation networks with one hidden layer and the desired accuracy where the target functions are in a subset V1, p ([−1, 1]s) of the Sobolev space W1, p([−1, 1]s).
- Type
- Research Article
- Information
- Bulletin of the Australian Mathematical Society , Volume 59 , Issue 1 , February 1999 , pp. 121 - 131
- Copyright
- Copyright © Australian Mathematical Society 1999
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