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A procedure for pre-processing non-stationary time series is proposed for modelling with a time-delay neural network (TDNN). The procedure stabilises the mean of the series and uses a Fast Fourier Transform (FFT) to determine the TDNN input size. Results of applying this procedure on five well-known data sets are compared with existing hybrid neural network(More)
The categorisation of documents in large diverse collections poses a keen problem. The choice of a vector that may represent a document collection, and categories of documents within, is still an art form. We describe a study where four different types of term occurrence and document frequency metrices have been used with varying levels of success measured(More)
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