Titlebook: Computational Intelligence in Economics and Finance; Shu-Heng Chen,Paul P. Wang Book 2004 Springer-Verlag Berlin Heidelberg 2004 Artificia

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Fuzzy Investment Analysis Using Capital Budgeting and Dynamic Programming Techniquespplied to the situation where each investment in the set has the following characteristics: the amount to be invested has several possible values, and the rate of return varies with the amount invested. Each sum that may be invested represents a distinct level of investment, and the investment there

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Forecasting the Opening Cash Price Index in Integrating Grey Forecasting and Neural Networks: Eviden. It therefore indicates that there is valuable information involved in the futures prices during the NCT period in forecasting the opening cash price index. Besides, grey forecasts provide a better initial solution that speeds up the learning procedure for the neural networks which in turn give bet

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Effective Position of European Firms in the Face of Monetary Integration Using Kohonen’s SOFMers. The use of unsupervised artificial neural networks, specifically the employment of self-adaptive models based on Kohonen’s proposal, makes easier to analyze the microeconomic differences by getting a visual image of a concrete dispersion of the differences through two-dimensional topological ma

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Shu-Heng Chen,Paul P. WangIncludes supplementary material:

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Advanced Information Processinghttp://image.papertrans.cn/c/image/232493.jpg

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A Support Vector Machine Model for Currency Crises DiscriminationThis paper discusses the feasibility of using the support vector machine (SVM) to build empirical models of currency crises. The main idea is to develop an estimation algorithm, by training a model on a data set, which provide reasonably accurate model outputs. The proposed approach is illustrated to model currency crises in Venezuela.

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