Takagi-sugeno Fuzzy Model of Nonlinear Hiv Dynamics: Chebyshev-series Approach Integrated with Genetic Algorithm
نویسنده
چکیده
Shifted-Chebyshev-series approach (SCSA) and hybrid Taguchi-genetic algorithm (HTGA) were integrated into a Takagi-Sugeno (TS) fuzzy model nonlinear human immunodeficiency virus (HIV) dynamics. Since only the algebraic computations in SCSA were applied in the TS fuzzy model-based dynamic equations, the proposed model simplified the problem by transforming it into a static optimization problem represented by algebraic equations. In static optimization problems, SCSA and HTGA simultaneously found the optimal antecedent and consequent parameters of the TS fuzzy model by directly minimizing the root-mean-squared-error (RMSE) performance index. An example of the proposed integrated model is given to demonstrate its efficacy.
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