Bacterial algorithm applied for fuzzy rule extraction
This paper presents a method of using the so-colled "bacterial algorithm" (4,5) for extracting a fuzzy rule base from a training set. The bewly proposed bacterial evolutionary algorithm (BEA) is shown. In our application one bacterium corresponds to a fuzzy rule system.
Main Author: | |
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Other Authors: | , , |
Format: | conferenceObject |
Language: | eng |
Published: |
2013
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Subjects: | |
Online Access: | http://hdl.handle.net/10400.1/2293 |
Country: | Portugal |
Oai: | oai:sapientia.ualg.pt:10400.1/2293 |