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Analysing Hierarchical Data Using a Stochastic Evolutionary Neural Tree
(1998)
SCENT is simple competitive neural network model that evolves a tree structured set of nodes in response to being presented with an unlabelled data set. The resulting set of weight vectors and their relationship can be ...
Snakes and their influence on visual processing
(University of Hertfordshire, 1998)
Consideration is given to the use of snakes (active contour models) for tracking objects in a visual field. The basic theory of snakes is covered, and a greater depth of analysis is given to both the original [1] and the ...
A neural network model of visual object recognition impairment after brain damage
(1998)
Dysfunction of the visual object recognition system in humans is briefly discussed and a basic connectionist model of visual object recognition is introduced. Experimentation in which two variants of this model are lesioned ...
Molecular self-organisation in a developmental model for the evolution of large-scale artificial neural networks
(1998)
We argue that molecular self-organisation during embryonic development allows evolution to perform highly nonlinear combinatorial optimisation. A structured approach to architectural optimisation of large-scale Artificial ...
Evolution of developmental ontogeny for robustly reproducible phenotypes
(University of Hertfordshire, 1998)
Development has been used by a number of researchers as an efficient means of nonlinearly decoding genetic information is evolutionary systems. We show that developmental routines which do not utilise cell-cell interactions ...
Developmental evolution of an edge detecting retina
(Springer Nature, 1998)