Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.713657
Title: Implementation of dynamical systems with plastic self-organising velocity fields
Author: Liu, Xinhe
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2015
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Abstract:
To describe learning, as an alternative to a neural network recently dynamical systems were introduced whose vector fields were plastic and self-organising. Such a system automatically modifies its velocity vector field in response to the external stimuli. In the simplest case under certain conditions its vector field develops into a gradient of a multi-dimensional probability density distribution of the stimuli. We illustrate with examples how such a system carries out categorisation, pattern recognition, memorisation and forgetting without any supervision.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.713657  DOI: Not available
Keywords: Nonlinear dynamics ; Learning ; Neural networks ; Moment-based approximation
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