正规化模糊神经网络 meaning in Chinese

nfnn

This paper aims at the two main limitations of pure fuzzy system in traditional modeling . one is the difficulties in extracting and adjusting the fuzzy rules and subject functions , the other is the workload increasing exponentially along with the number of variables . so we improve the old regular combination arithmetic on the base of normal fuzzy neural networks ( nfnn )
本文针对单纯模糊系统在传统建模方法上的缺陷：难以提取和调整模糊规则与隶属函数，并且其工作量往往随变量数目的增长呈指数级增长，在前人提出的正规化模糊神经网络( nfnn )结构基础上，改进了已有的规则合并的算法。