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Browsing by Author "Frank, R."
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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 ... -
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 ... -
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 ... -
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 ... -
Basic-level visual similarity and category specificity
Gale, T.M.; Laws, K.R.; Frank, R.; Leeson, V.C. (2003)The role of visual crowding in category deficits has been widely discussed (e.g., [Humphreys et al., 1988]; [Laws and Gale, 2002]; [Tranel et al., 1997]). Most studies have measured overlap at the superordinate level ... -
Clone detection in telecommunications software systems : a neural net approach
Carter, S.; Frank, R.; Tansley, D. (University of Hertfordshire, 1994)We report on the development of a tool which uses neural nets to help in the detection of 'clone' software in large telecommunication software systems. Cloning is a primitive form of software re-use, whereby existing blocks ... -
A Computational Study on Circuit Size vs. Circuit Depth
Lappas, G.; Frank, R.; Albrecht, A. (2006)We investigate the circuit complexity of classification problems in a machine learning setting, i.e. we attempt to find some rule that allows us to calculate a priori the number of threshold gates that is sufficient to ... -
Design and use of neural network applications in telecommunications
Frank, R.; Davey, N.; Hunt, S. (CRC Press, 2000)This chapter describes the use of neural networks in the analysis of software systems. The development of large software systems over long periods of time, and the software crisis that this has produced, provides a rich ... -
The detection of fraud in mobile phone networks
Davey, N.; Field, S.; Frank, R.; Barson, P.; McAskey, G. (1996) -
The development of a software clone detector
Davey, N.; Barson, P.; Field, S.; Frank, R.; Tansley, D. (1995)Cloning, the copying and modifying of blocks of code, is the most basic means of software reuse. Code cloning has been very extensively used within the software development design community. Unofficial surveys carried out ... -
Dimensionality reduction of face images for gender classification
Buchala, S.; Davey, N.; Frank, R.; Gale, T.M. (2004) -
Discriminating angry, happy and neutral facial expression : a comparison of computational models
Shenoy, A.; Anthony, S.; Frank, R.; Davey, N. (Springer Nature, 2009)Recognizing expressions are a key part of human social interaction, and processing of facial expression information is largely automatic for humans, but it is a non-trivial task for a computational system. The purpose of ... -
Dynamic competitive learning applied to the clone detection problem
Barson, P.; Davey, N.; Frank, R.; Tansley, D. (University of Hertfordshire, 1995)A novel neural network architecture, 'Dynamic Competitive Learning', has been applied to the software clone detection problem in telecommunications systems. A software clone is a copy (subsequently modified), of a piece ... -
Gender classification of face images: the role of global and feature-based information
Buchala, S.; Davey, N.; Frank, R.; Gale, T.M.; Loomes, M.J.; Kanakard, W. (2004) -
Global and Feature Based Gender Classification of Faces: A Comparison of Human Performance and Computational Models
Buchala, S.; Davey, N.; Gale, T.M.; Frank, R. (2005)Most computational models for gender classification use global information (the full face image) giving equal weight to the whole face area irrespective of the importance of the internal features. Here, we use a global and ... -
High capacity associative memory models - binary and bipolar representation
Davey, N.; Frank, R.; Hunt, S.; Adams, R.G.; Calcraft, L. (2004) -
High Performance Associative Memories and Structured Weight Dilution
Turvey, S.P.; Hunt, S.; Davey, N.; Frank, R. (Springer Nature, 2004)The consequences of two techniques for symmetrically diluting the weights of the standard Hopfield architecture associative memory model, trained using a non-Hebbian learning rule, are examined. This paper reports experimental ... -
Input window size and neural network predictors
Frank, R.; Davey, N.; Hunt, Stephen (Institute of Electrical and Electronics Engineers (IEEE), 2000)Neural network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results from dynamic systems theory are briefly ... -
A modular attractor model of semantic access
Power, W.; Frank, R.; Done, D.J.; Davey, N. (1999)This paper presents results from lesion experiments on a modular attractor neural network model of semantic access. Real picture data forms the basis of perceptual input to the model. An ultrametric attractor space is used ... -
A neural network model of visual object recognition impairment after brain damage
Davey, N.; Frank, R.; Gale, T.M.; George, S. (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 ...