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This volume looks at financial prediction from a broad range of perspectives. It covers: - the economic arguments - the practicalities of the markets - how pred
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Comprehensively specified benchmarks are provided (including weight values), drawn from time series examples in chaos theory and financial futures. The book cov
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Organized by application areas, rather than by specific network architectures or learning algorithms, Building Neural Networks shows why certain networks are mo