Complexity reduction of singleton based neuro-fuzzy algorithm

During the past few years, efficient singular value-based complexity reduction tools have been developed for fuzzy logic techniques. The paper introduces a singular value-based reduction method to the generalised type neural network. The method conducts singular value decomposition of the weighting...

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Bibliographic Details
Main Authors: Baranyi, P., Kin-Fong Lei, Yeung Yam
Format: Conference Proceeding
Language:English
Subjects:
Automation
Computer networks
Fuzzy logic
Mathematical model
Neural networks
Neurofeedback
Neurons
Singular value decomposition
Telematics
Transfer functions
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Summary:During the past few years, efficient singular value-based complexity reduction tools have been developed for fuzzy logic techniques. The paper introduces a singular value-based reduction method to the generalised type neural network. The method conducts singular value decomposition of the weighting functions defined on the connections among the neurons and generates certain linear combinations of the original weighting functions to form a new connection-net for the complexity reduced neural network.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2000.884369