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Adaptive Response Function Neurons


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Ollington, R and Vamplew, P 2003 , 'Adaptive Response Function Neurons', paper presented at the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems, 15-18 December 2003, Singapore.

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Biological neurons that show a locally tuned response to
input may arise from the network topology of
interneurons in the system. By considering such a subnetwork,
a learning algorithm is developed for the online
learning of the centre, width and shape of locally
tuned response functions. The response function for
each input is trained independently, resulting in a very
good fit for the presented data. Two example networks
utilising these neurons were considered. The first was a
completely supervised network while the second utilised
a Kohonen-like training scheme for the hidden layer. The
adaptive response function neurons (ARFNs) were able
to achieve excellent class separation while maintaining
good generalisation with relatively few neurons.

Item Type: Conference or Workshop Item (Paper)
Authors/Creators:Ollington, R and Vamplew, P
Keywords: localised response neurons, radial basis functions
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