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Each rule consequent node sums the output of the layer 3 nodes, which see this layer 4 node as a consequence, to identify the degree of membership for the consequent part of the rule.
The consequent part of a fuzzy rule used in DMELA is estimated by an RLS approach.
Therefore, by getting Equation 14, we complete the estimation the consequent part of fuzzy rules.
A TNFN [25] employs a linear combination of the crisp inputs as the consequent part of a fuzzy rule.
Identification of parameters associated with the consequent part of fuzzy rules in the complicated system is important.
In addition, Recursive Least Square (RLS) algorithm is used to adjust the consequent part of the T S system.
Similar(39)
The structure of FWNN is based on the basis of fuzzy rules including wavelet functions in the consequent parts of rules.
For the NFS ARIMA, the focus is on the design of fuzzy If-Then rules, where ARIMA models are embedded in the consequent parts of If-Then rules.
The unknown nonlinear functions are approximated by fuzzy systems based on universal approximation theorem, where both the premise and the consequent parts of the fuzzy rules are tuned with adaptive schemes.
Additionally, taking the rapidity and accuracy of the identification into account, the system is characterized by a set of fuzzy IF THEN rules, and the consequent parts of which is designed to be single hidden layer wavelet neural network.
Departing from traditional approaches, which are to find a common positive definite matrix for all rules, sufficient conditions to guarantee the robust stability for such fuzzy systems are derived in term of matrix measures of system matrices in the consequent parts of fuzzy rules.
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