The adaptive dynamic clustering neuro-fuzzy system for classification
© Springer-Verlag Berlin Heidelberg 2015. This paper proposes a method of neuro-fuzzy for classification using adaptive dynamic clustering. The method has three parts, the first part is to find the proper number of membership functions by using adaptive dynamic clustering and transform to binary val...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Springer Verlag
2015
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| Subjects: | |
| Online Access: | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84923167075&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39103 |
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| Institution: | Chiang Mai University |
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