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Feature Extraction with Hybrid Neural Networks

We propose the novel constructive approach by which a neuro fuzzy network is built up with the help of a constrained optimizer. The mathematical motivation for such hybrid networks is presented, using the Kolmogorov theory of metric entropy.

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Year of publication:	2000-09-01
Authors:	Kreuter, Christof
Publisher:	DB Research GmbH <Frankfurt, Main>
Subject:	Optionspreistheorie \| Neuronales Netz \| Fuzzy-Logik \| fuzzy logic \| Entropie \| Entropy

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Table of Contents
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1. Introduction
2. Neural Networks
3. Fuzzy Logic
4. Integrating Neural Networks and Fuzzy Logic Systems
5. The Metric Entropy of neuro Fuzzy Networks
6. Option Pricing with Fuzzy Networks
7. Summary and Conclusion

Persistent link: https://www.econbiz.de/10005843728