Adaptive neural fuzzy inference system (ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine.
作为一种局部逼近方法，自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
In this paper, the numerical approximation characteristics of fuzzy system are discussed, and the influence of approximation error and initial state error on fuzzy system are analyzed.
该文讨论了模糊系统的数字逼近特性，同时分析了逼近误差和初始状态误差对模糊系统的影响。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
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