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Staged training of Neocognitron by evolutionary algorithms
(Institute of Electrical and Electronics Engineers (IEEE), 1999)
The Neocognitron, inspired by the mammalian visual system, is a complex neural network with numerous parameters and weights which should be trained in order to utilise it for pattern recognition. However, it is not easy ...
Human shape recognition from snakes using neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 1999)
This paper documents experiments which have been carried out with several neural network systems designed to categorise pedestrian shapes from non-pedestrian shapes. Active Contour models (‘Snakes’) [1] have been used to ...
Detecting partial occlusion of humans using snakes and neural networks
(1999)
This paper summarises the development of a computer system designed to detect moving humans in an image or series of images. The system combines the use of active contour models, ‘snakes’, which detect human objects in an ...
Developmental evolution of dendritic morphology in a multi-compartmental neuron model
(IEE, 1999)
Through the use of a multi-compartmental neuron simulation, Mainen and Sejnowski demonstrated that spike generation in neurons is a function of their dendritic structure [l]. In this paper we investigate the determination ...
Hierarchical Classification with a Competitive Evolutionary Neural Tree
(1999)
A new, dynamic, tree structured network, the Competitive Evolutionary Neural Tree (CENT) is introduced. The network is able to provide a hierarchical classification of unlabelled data sets. The main advantage that the CENT ...
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 ...
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)
An investigation into the performance and representation of a stochastic evolutionary neural tree
(Springer Nature, 1997)
The Stochastic Competitive Evolutionary Neural Tree (SCENT) is a new unsupervised neural net that dynamically evolves a representational structure in response to its training data. Uniquely SCENT requires no initial parameter ...