the results predicted by the rough adaptive neural fuzzy inference system show it can perform very well in dealing with the electrocardiogram which has two outputs;
实验结果证明,具有双输出心电图数据可以利用粗糙神经网络得到準确地处理。
a novel hybrid neural fuzzy inference system is presented. only based on the desired input output data pairs, are the knowledge acquisition and initial fuzzy rule sets available.
设计一种新型混合模糊神经推理系统,该系统仅从期望输入输出数据集即可达到获取知识、确定模糊初始规则基的目的。
by means of an identified adaptive neural fuzzy inference system (anfis) model of the excess air factor, the simulation of static state air fuel ratio feed-forward control was carried out.
借助于辨识的过量空气系数自适应神经网络模糊推理系统(anfis)模型,进行了静态空燃比前馈控制仿真。