Library Open Repository

Adaptive Response Function Neurons

Downloads

Downloads per month over past year

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.

[img]
Preview
PDF
ARFN_Ollington_2003.pdf | Download (253kB)
Available under University of Tasmania Standard License.

Abstract

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
URI: http://eprints.utas.edu.au/id/eprint/50
Item Statistics: View statistics for this item

Repository Staff Only (login required)

Item Control Page Item Control Page