Approximation Properties of the Neuro-Fuzzy Minimum Function

This paper derives a universal approximation result for theminimum fuzzy implication rule as well as a differentiable substitute function that allows fast optimization and function approximation with neuro-fuzzy networks.

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Year of publication:	1999-03-01
Authors:	Gottschling, Andreas ; Kreuter, Christof
Publisher:	DB Research GmbH <Frankfurt, Main>
Subject:	Optimierung \| Nonsmooth optimization \| Neuronales Netz \| Fuzzy-Logik \| fuzzy logic \| Nichtlineare Optimierung \| nonlinear optimization

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Extent:	1001472 bytes 8 p. application/pdf
Series:	DB Research - Research Note ; RN-99-3
Type of publication:	Book / Working Paper
Language:	English
Classification:	C - Mathematical and Quantitative Methods ; C2 - Econometric Methods: Single Equation Models ; C4 - Econometric and Statistical Methods: Special Topics ; C6 - Mathematical Methods and Programming ; Financial theory ; Nonlinear programming ; Individual Working Papers, Preprints ; No country specification
Source:	USB Cologne (business full texts)

Persistent link: https://www.econbiz.de/10005843729