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Browsing by Author "Pensuwon, W."
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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 ... -
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 ... -
Comparative performances of stochastic competitive evolutionary neural tree (SCENT) with neural classifiers
Pensuwon, W.; Adams, R.G.; Davey, N. (2001)A stochastic competitive evolutionary neural tree (SCENT) is described and evaluated against the best neural classifiers with equivalent functionality, using a collection of data sets chosen to provide a variety of clustering ... -
Hierarchical topological clustering learns stock market sectors
Doherty, K.; Adams, R.G.; Davey, N.; Pensuwon, W. (Institute of Electrical and Electronics Engineers (IEEE), 2005)The breakdown of financial markets into sectors provides an intuitive classification for groups of companies. The allocation of a company to a sector is an expert task, in which the company is classified by the activity ... -
Optimising a hierarchical neural clusterer applied to large gene sequence data sets
Adams, Roderick; Davey, N.; Kaye, Paul H.; Pensuwon, W. (Institute of Electrical and Electronics Engineers (IEEE), 2004)Evolutionary Algorithms have been used to optimise the performance of neural network models before. This paper uses a hybrid approach by permanently attaching a Genetic Algorithm (GA) to a hierarchical clusterer to investigate ... -
Optimising a neural tree classifier using a genetic algorithm
Pensuwon, W.; Adams, R.G.; Davey, N. (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, ... -
Optimising a Neural Tree Using Subtree Retraining
Pensuwon, W.; Adams, R.G.; Davey, N. (2004)Subtree retraining applied to a Stochastic Competitive Evolutionary Neural Tree model (SCENT) is introduced. This subtree retraining process is designed to improve the performance of the original model which provides a ... -
Optimising a stochastic dynamic neural tree
Pensuwon, W.; Adams, R.G.; Davey, N. (2002) -
Stochasticity applied to a neural tree classifier
Pensuwon, W.; Adams, R.G.; Davey, N. (2000)