给出了基于T S模型的模糊基函数网络(FBFN)，并提出了一种基于FBFN的未知系统故障信息检测通用方法。
Fuzzy basis function network (FBFN) based on t s fuzzy model is given. A general approach for fault information detection in unknown systems using FBFN is present.
在学习过程中通过同时调整小波基函数的平移因子和隶属度函数的形状，使得模糊小波网络的精度和泛化能力大大提高。
By adjusting the translation parameters of the wavelets and the shape of membership functions, the accuracy and generalization capability of FWN can be remarkably improved.
文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
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