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Adaptive Response Function Neurons
Ollington, R and Vamplew, P (2003) Adaptive Response Function Neurons. In: 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)|
|Keywords:||localised response neurons, radial basis functions|
|Date Deposited:||19 Aug 2004|
|Last Modified:||18 Nov 2014 03:10|
|Item Statistics:||View statistics for this item|
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