ABOUT ONE HYBRID IMMUNE ALGORITHM FOR ZERO ORDER TSK FUZZY SYSTEMS PARAMETRIC OPTIMIZATION
A hybrid immune algorithm for zero-order Takagi-Sugeno-Kang fuzzy system parametric optimization has been proposed. The algorithm uses the advantages of immune clonal selection algorithm, PSO algorithm and backpropagation algorithm. The parallel algorithm implementation efficiency has been demonstrated for determination of individual target doses of radioiodine(131I) in the treatment of diffuse toxic goiter.