CAJ | 학술논문

针对复杂的非线性系统较难建立精确的数学模型这一难题，提出一种基于模糊推理系统的（ANFIS）自适应方法方法对系统进行建模。建模过程中为了给ANFIS赋合适初始值，选用人工免疫聚类算法对输入数据进行处理。最后利用MATLAB离线对一种非线性系统的进行实验仿真，仿真结果表明了该方法的有效性。
침대복잡적비선성계통교난건립정학적수학모형저일난제，제출일충기우모호추리계통적（ANFIS）자괄응방법방법대계통진행건모。건모과정중위료급ANFIS부합괄초시치，선용인공면역취류산법대수입수거진행처리。최후이용MATLAB리선대일충비선성계통적진행실험방진，방진결과표명료해방법적유효성。
The modeling approach based on ANFIS system was presented to found the systems' accurate mathematical models. For giving an appropriate primitive value, the artificial immune clustering was used to deal with the input data. The results were compared with those obtained by using conventional ANFIS network. It was found that the new model is better than conventional ANFIS model.