Abstract
In this paper the Neuro-Fuzzy system ANFIS (Adaptive Network Fuzzy Inference System) and its integration in the Stuttgart Neural Network Simulator (SNNS) is described. The rule-based knowledge base of a fuzzy system is directly mapped to the network structure of a neural network. With a hybrid learning algorithm the system adapts itself to the environment by using examples to optimize the rules. The structured network architecture also gives the possibility to extract the optimized fuzzy rules from the network after training.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
K. Brahim. Methoden zur Kombination von Fuzzy Logik und Neuronalen Netzen. Diplomarbeit 978, IPVR, University of Stuttgart, 1993.
J.-S. Roger Jang. ANFIS: Adaptive-Network-Based Fuzzy Inference Systems. IEEE Transactions on Systems, Man & Cybernetics, 1992.
J.-S. Roger Jang. Functional Equivalence between Radial Basis Function Networks and Fuzzy Inference Systems. IEEE Transactions on Neural Networks, 1992.
K.S. Narendra, K. Parthsarathy. Identification and Control of Dynamical Systems Using Neural Networks. IEEE Transactions on Neural Networks, 1(1):4–27, 1990.
E. Rumelhart, J.L. McClelland. Parallel Distributed Processing: Explorations in the Micro structure of Cognition., Band I, II. MIT Press, Cambridge, Massachusetts, London, England, 1986.
P. Strobach. Linear Prediction Theory : A Mathematical Basis forAdaptive Systems. Springer-Verlag, 1990.
M. Vogt. Implementierung und Anwendung von ‘“Generalized Radial Basis Functions”’ in einem Simulator neuronaler Netze. Diplomarbeit 875, IPVR, Universität Stuttgart, 1992.
A. Zell, N. Mache, R. H”ubner, M. Schmalzl, T. Sommer, G. Marnier, M. Vogt, T. Korb. SNNS User Manual, Version 2.1. IPVR, Universit” at Stuttgart, 1992.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig/Wiesbaden
About this chapter
Cite this chapter
Brahim, K., Zell, A. (1994). ANFIS-SNNS: Adaptive Network Fuzzy Inference System in the Stuttgart Neural Network Simulator. In: Kruse, R., Gebhardt, J., Palm, R. (eds) Fuzzy-Systems in Computer Science. Artificial Intelligence / Künstliche Intelligenz. Vieweg+Teubner Verlag. https://doi.org/10.1007/978-3-322-86825-1_9
Download citation
DOI: https://doi.org/10.1007/978-3-322-86825-1_9
Publisher Name: Vieweg+Teubner Verlag
Print ISBN: 978-3-322-86826-8
Online ISBN: 978-3-322-86825-1
eBook Packages: Springer Book Archive