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Browsing University of Hertfordshire by Author "Davey, N."
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Adaptive Electrical Signal Post-Processing in Optical Communication Systems
Sun, Yi.; Shafarenko, A.; Adams, R.G.; Davey, N.; Slater, B.; Bhamber, R.; Boscolo, S.; Turitsyn, S.K. (INSTICC (Inst. Syst. Technologies Information Control and Communication), 2008)Improving bit error rates in optical communication systems is a difficult and important problem. The error correction must take place at high speed and be extremely accurate. We show the feasibility of using hardware ... -
Adaptive electrical signal post-processing with varying representations in optical communication systems
Hunt, Stephen; Sun, Yi; Shafarenko, Alex; Adams, Roderick; Davey, N.; Slater, Brendan; Bhamber, Ranjeet; Boscolo, Sonia; Turitsyn, Sergei K. (2009)Improving bit error rates in optical communication systems is a difficult and important problem. Error detection and correction must take place at: high speed, and be extremely accurate. Also, different communication ... -
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks
Oros, N.; Steuber, Volker; Davey, N.; Canamero, L.; Adams, R.G. (2008)We created a neural architecture that can use two different types of information encoding strategies depending on the environment. The goal of this research was to create a simulated agent that could react to two different ... -
An adaptive RBF network optimised using a genetic algorithm applied to rainfall forecasting
Jareanpon, C.; Pensuwon, W.; Frank, R.; Davey, N. (Institute of Electrical and Electronics Engineers (IEEE), 2004)Rainfall prediction is a challenging task especially in a modern world facing the major environmental problem of global warming. The proposed method uses an Adaptive Radial Basis Function neural network mode with a specially ... -
Analysing Hierarchical Data Using a Stochastic Evolutionary Neural Tree
Adams, R.G.; Davey, N.; George, S. (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 ... -
The analysis of animate object motion using neural networks and snakes
Tabb, Ken; George, S.; Davey, N.; Adams, R.G. (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 ... -
Analysis of human motion using snakes and neural networks
Tabb, Ken; George, S.; Davey, N.; Adams, R.G. (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. ... -
Analysis of Linear and Nonlinear dimensionality Reduction Methods for Gender Classification of Face Images
Buchala, S.; Davey, N.; Gale, T.M.; Frank, R. (2005-11)Data in many real world applications are high dimensional and learning algorithms like neural networks may have problems in handling high dimensional data. However, the Intrinsic Dimension is often much less than the ... -
The Analysis of the addition of Stochasticity to a Neural Tree Classifier
Pensuwon, W.; Adams, R.G.; Davey, N. (2001)This paper describes various mechanisms for adding stochasticity to a dynamic hierarchical neural clusterer. Such a network grows a tree-structured neural classifier dynamically in response to the unlabelled data with which ... -
The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes
Moss, Gary; Sun, Yi; Wilkinson, Simon C.; Davey, N.; Adams, Roderick; Martin, Gary P.; Prapopopolou, M.; Brown, Marc (2011-11)Objectives: Predicting the rate of percutaneous absorption of a drug is an important issue with the increasing use of the skin as a means of moderating and controlling drug delivery. One key feature of this problem domain ... -
The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers
Moss, Gary; Shah, A.J.; Adams, R.G.; Davey, N.; Sun, Y.; Wilkinson, S.C.; Pugh, W.J. (2012-01-23)Discriminant analysis (DA) has previously been shown to allow the proposal of simple guidelines for the classification of 73 chemical enhancers of percutaneous absorption. Pugh et al. employed DA to classify such enhancers ... -
The application of feature selection to the development of Gaussian process models for percutaneous absorption.
Lam, L.T.; Sun, Yi; Davey, N.; Adams, Roderick; Prapopoulou, M.; Brown, Marc; Moss, Gary (2010)Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ... -
The application of Gaussian processes in the prediction of absorption across mammalian skin and synthetic membranes
Sun, Y.; Prapopoulou, M.; Adams, R.; Davey, N.; Moss, G. P.; Brown, Marc (2010-06) -
The application of Gaussian processes in the prediction of percutaneous absorption
Moss, Gary P.; Sun, Yi; Prapopoulou, Maria; Davey, N.; Adams, Roderick; Pugh, W. John; Brown, Marc (2009-09)Objectives The aim was to assess mathematically the nature of a skin permeability dataset and to determine the utility of Gaussian processes in developing a predictive model for skin permeability, comparing it with existing ... -
The application of machine learning to the modelling of percutaneous absorption: An overview and guide
Ashrafi, P.; Moss, G. P.; Wilkinson, S. C.; Davey, N.; Sun, Yi (2015-03-18)Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This paper reviews the application of these methods to the problem domain of skin permeability and addresses critically some ... -
The application of stochastic machine learning methods in the prediction of skin penetration
Sun, Y.; Brown, Marc; Prapopoulou, M.; Davey, N.; Adams, R. G.; Moss, G. P. (2011-03)Improving predictions of skin permeability is a significant problem for which mathematical solutions have been sought for around twenty years. However, the current approaches are limited by the nature of the models chosen ... -
Applications of neural networks to telecommunications systems
Frank, R.; Davey, N.; Hunt, S. (ELITE Foundation, 1999)This paper gives an overview of a project involving the application of neural networks to Telecommunications Systems. Five application areas are discussed, including cloned software identification and the detection of ... -
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
Davey, N.; Adams, R.G.; George, S. (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 ... -
Associative Memories with Small World Connectivity
Davey, N.; Calcraft, L.; Christianson, B.; Adams, R.G. (Springer Nature Link, 2005)In this paper we report experiments designed to find the relationship between the different parameters of sparsely connected networks of perceptrons with small world connectivity patterns, acting as associative memories. -
Associative memory models with structured connectivity.
Turvey, S.P.; Hunt, S.; Frank, R.; Davey, N. (ACTA Press, 2003)High capacity associative memory models with dilute structured connectivity are trained using naturalistic bitmap patterns. The connectivity of the model is chosen to reflect the local spatial continuity of the data. The ...