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The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
(2000)
A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of unlabelled data sets. The main advantage ...
High performance associative memory models and symmetric connections
(2000)
Two existing high capacity training rules for the standard Hopfield architecture associative memory are examined. Both rules, based on the perceptron learning rule produce asymmetric weight matrices, for which the simple ...
Analysis of human motion using snakes and neural networks
(2000)
A novel technique is described for analysing human movement in outdoor scenes. Following initial detection of the humans using active contour models, the contours are then re-represented as normalised axis crossover vectors. ...
Optimising a neural tree classifier using a genetic algorithm
(2000)
This paper documents experiments performed using a GA to optimise the parameters of a dynamic neural tree model. Two fitness functions were created from two selected clustering measures, and a population of genotypes, ...
The analysis of animate object motion using neural networks and snakes
(2000)
This paper presents a mechanism for analysing the deformable shape of an object as it moves across the visual field. An object’s outline is detected using active contour models, and is then re-represented as shape, location ...