Titlebook: Computational Intelligence in Economics and Finance; Volume II Shu-Heng Chen,Paul P. Wang,Tzu-Wen Kuo Book 2007 Springer-Verlag Berlin Heid

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Forecasting Agricultural Commodity Prices using Hybrid Neural Networks, However, ARIMA models can not easily capture nonlinear patterns. In the last two decades artificial neural networks (ANNs) have been proposed as an alternative to traditional linear models, particularly in the presence of nonlinear data patterns. Recent research suggests that a hybrid approach comb

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Comparison of Instance-Based Techniques for Learning to Predict Changes in Stock Prices, of instance-based families is considered for classification using the WEKA software package. The problem selected for analysis is a common one in financial and econometric work: the use of publicly available economic data to forecast future changes in a stock market index. This paper examines vario

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Hybrid-Agent Organization Modeling: A Logical-Heuristic Approach, environment (or domain), the hybrid agents as elements of the environmental structure, as well as some connecting functions. A hybrid-agent in an organization structure is composed of a heuristic-decision support system (HDSS) and the decision-maker (the user) is one of the units. By using this hyb