Titlebook: Intelligent Systems and Financial Forecasting; Jason Kingdon Book 1997 Springer-Verlag London Limited 1997 Adaptive systems.Fuzzy.artifici

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From Learning Systems to Financial Modelling,This chapter presents a brief introduction to financial time series analysis, machine learning and neural networks. It provides an outline of the motivations and research goals, along with an overview of the research presented within this book.

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Summary, Conclusions and Future Work,This final chapter provides a summary and a critical review of the work contained within this book. In particular we highlight the research contributions that have been made and discuss aspects that should lead to future work.

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The Data: The Long Gilt Futures Contract,nd other financial series that will be used by ANTAS in Chapter 8 in order to formulate a predictive model of the LGFC. The chapter provides a description of this data series in the context of financial forecasting, and in terms of the Efficient Market Hypothesis.

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Genetic Algorithms,likely success of a GA search is investigated. A new style of GA is introduced that makes use of multiple randomly selected representations during the course of a run. The Morphic GAs use transmigration and transmutation operators to adjust the encoding of individuals within the population via base