Fuzzy modelling using wavelet transforms
暂无分享，去创建一个
A new approach to fuzzy modelling using wavelet transforms is proposed. A fuzzy inference system with some minor restrictions and modifications can function as a discrete wavelet transform. The feasibility of the proposed fuzzy model is proved by modelling a highly nonlinear function and comparing it with previous research.
[1] Qinghua Zhang,et al. Multidimensional wavelet frames , 1995, IEEE Trans. Neural Networks.
[2] Bhavik R. Bakshi,et al. Wave‐net: a multiresolution, hierarchical neural network with localized learning , 1993 .
[3] Yagyensh C. Pati,et al. Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations , 1993, IEEE Trans. Neural Networks.
[4] Li-Xin Wang. Stable adaptive fuzzy control of nonlinear systems , 1993, IEEE Trans. Fuzzy Syst..