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Membership parameters have also loosened.
In addition, Particle Swarm Optimization algorithm (PSO) was used to determine membership parameters of the ANFIS approach and related parameters of the SVM were optimized using GA.
The approach is based on speedy individual differences clustering and uses binary least squares to update the cluster membership parameters, making use of the binary constraints on these parameters and simplifying the other parameter updates.
In this paper, we will present the novel application of Big Bang Big Crunch optimization (BB BC) approach to optimize the antecedent membership parameters of Interval Type-2 Fuzzy PID (IT2-FPID) controllers in a cascade control structure.
However, clan membership parameters have not been clearly defined [ 10].
We use matrices and to represent this complete set of membership parameters.
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Dynamic object appearance changes are captured by a mixed-state shape model [13] consisting of a discrete-valued cluster membership parameter and a continuous-valued weight parameter.
In WGCNA, cluster assignment is determined by the "module membership" parameter whereas for MCLUST each gene is assigned to a cluster with an uncertainty parameter.
A i and B i represent the linguistic labels whose membership function parameters are premise parameters and are represented by fuzzy sets [27].
The generated membership function parameters are then tuned (parameter identification) using a learning rule such as the BP algorithm.
In the proposed design the antecedent membership function parameters of the IT2FLS are generated randomly, whereas the consequent part parameters are determined analytically by the Moore Penrose pseudo inverse.
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