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Team:NCTU Formosa/modeling
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| + | <p>Adaptive-Network-Based Fuzzy Inference System, in short ANFIS, is a power tool for constructing a set of fuzzy if-then rules to generate stipulated output and input pairs. Unlike system modeling using mathematical rules that lacks the ability to deal with ill-defined and uncertain system, ANFIS can transform human knowledge into rule base, and therefore, ANFIS can effectively tune membership functions, minimizing the output error. | ||
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Revision as of 01:54, 26 October 2013
Modeling
Modeling was our first step forward. When validated with our experimental data, modeling is also a verification of the accuracy of our experiments.
ANFIS Introduction
Adaptive-Network-Based Fuzzy Inference System, in short ANFIS, is a power tool for constructing a set of fuzzy if-then rules to generate stipulated output and input pairs. Unlike system modeling using mathematical rules that lacks the ability to deal with ill-defined and uncertain system, ANFIS can transform human knowledge into rule base, and therefore, ANFIS can effectively tune membership functions, minimizing the output error. </div></div>
Light-regulated System
Red Promoter
Temperature-regulated system
text
Small RNA-regulated System
rRBS efficiency
