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Akademický článek

Fractional Fourier Series on the Torus and Applications

Autor: Chen Wang, Xianming Hou, Qingyan Wu, Pei Dang, Zunwei Fu

Publikováno v: Fractal and Fractional, Vol 8, Iss 8, p 494 (2024)

This paper introduces the fractional Fourier series on the fractional torus and proceeds to investigate several fundamental aspects. Our study includes topics such as fractional convolution, fractional approximation, fractional Fourier inversion, and

Externí odkaz: https://doaj.org/article/740d126de2694dc1aeb7185a207cdba9

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Akademický článek

Positive ground states for nonlinear Schrödinger–Kirchhoff equations with periodic potential or potential well in R 3 $\mathbf{R}^{3}$

Autor: Wei Chen, Zunwei Fu, Yue Wu

Publikováno v: Boundary Value Problems, Vol 2022, Iss 1, Pp 1-16 (2022)

Abstract This work is devoted to the nonlinear Schrödinger–Kirchhoff-type equation − ( a + b ∫ R 3 | ∇ u | 2 d x ) Δ u + V ( x ) u = f ( x , u ) , in R 3 , $$ - \biggl( a+b \int _{\mathbb{R}^{3}} \vert \nabla u \vert ^{2} \,\text{d}x \biggr

Externí odkaz: https://doaj.org/article/330e49f093ac4d37b946b6da102667a6

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Akademický článek

Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization

Autor: Zheng Wang, Sung-Kwun Oh, Eun-Hu Kim, Zunwei Fu, Witold Pedrycz

Publikováno v: IEEE Access, Vol 10, Pp 7772-7792 (2022)

In this study, a design methodology based on fuzzy sets inference and polynomial neural network(PNN) for hierarchically reorganized self-organizing network architecture is introduced to cope with over-fitting as well as multi-collinearity problems wh

Externí odkaz: https://doaj.org/article/787d848dce3940db893f04f13b260759

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Akademický článek

Robust Multi-Linear Fuzzy SVR Designed With the Aid of Fuzzy C-Means Clustering Based on Insensitive Data Information

Autor: Zheng Wang, Cheng Yang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz

Publikováno v: IEEE Access, Vol 8, Pp 184997-185011 (2020)

Multiple SVR based on ensemble learning could be enhanced from the viewpoint of the performance, but the performance of modeling closely depends on the initial condition of the partitioning method and they are easily affected by noise and outliers. I

Externí odkaz: https://doaj.org/article/6b470bf39afa475ab09ed7fe2427c524

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Akademický článek

Fractional Fourier Transforms Meet Riesz Potentials and Image Processing.

Autor: Zunwei Fu, Yan Lin, Dachun Yang, Shuhui Yang

Publikováno v: SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 1, p476-500, 25p

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