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|Title: ||An approach to evolvable neural functionality.|
|Authors: ||Capanni, Niccolo Francesco|
Maxwell, Grant M.
|Keywords: ||Evolutionary networks|
Artificial neural networks
|Issue Date: ||2003|
|Citation: ||CAPANNI, N., MACLEOD, C. and MAXWELL, G., 2003. An approach
to evolvable neural functionality. In: O. KAYNAK, E. ALPAYDIN, E.
OJA and L. XU, eds. Artificial neural networks and neural
information processing – supplementary proceedings
ICANN/ICONIP 2003. 26-29 June 2003. Istanbul, Turkey. pp. 220-
|Abstract: ||This paper outlines a neural model, which has been designed to be flexible
enough to assume most mathematical functions. This is particularly useful in evolutionary
networks as it allows the network complexity to increase without adding neurons. Theory
and results are presented, showing the development of both time series and non-time
|Appears in Collections:||Conference publications (Computing)|
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