Meta-cognitive learning algorithm for neuro-fuzzy inference systems

Neuro-fuzzy systems are learning machines that employ algorithms derived from artificial neural networks to find the parameters of a fuzzy inference system. These hybrid-intelligent systems can learn fuzzy rules from the data, while preserving their semantic properties. The learning algorithms emplo...

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Bibliographic Details
Main Author: Kartick Subramanian
Other Authors: Suresh Sundaram
Format: Theses and Dissertations
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/61828
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Institution: Nanyang Technological University
Language: English

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