使用软计算处理金融应用中的不确定性

Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI:10.1109/ISUMA.1995.527726

Michael A. Lee, Michael H. Smith

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引用次数: 9

摘要

我们确定了软计算技术在金融应用中的应用。概述了这些应用中使用的技术的缺点和优点，并提出了一种新的方法。该系统通过结合神经、模糊和进化算法技术，重点关注学习表示和自适应学习算法的问题。

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Handling uncertainty in finance applications using soft computing

We identify applications of soft computing techniques to finance applications. The disadvantages and advantages of techniques used in these applications are outlined and a novel approach is proposed. The proposed system focuses on the issue of learning representations and adaptive learning algorithms through the combination of neural, fuzzy, and evolutionary algorithm techniques.

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Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society

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