Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient
Descent with Regularization, DropRule and AdaBound (MBGD-RDA)

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Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)

26 March 2019

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Papers citing "Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)"

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Title
Fuzzy Knowledge Distillation from High-Order TSK to Low-Order TSK Xiongtao Zhang Zezong Yin Yunliang Jiang Yizhang Jiang Da-Song Sun Yong-Jin Liu 58 1 0 16 Feb 2023
PyTSK: A Python Toolbox for TSK Fuzzy Systems Yuqi Cui Dongrui Wu Xue Jiang Yifan Xu TPM 54 2 0 07 Jun 2022
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions Yuqi Cui Dongrui Wu Yifan Xu 49 21 0 08 Feb 2021
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief Zhenhua Shi Dongrui Wu Chenfeng Guo Changming Zhao Yuqi Cui Fei Wang 80 55 0 30 Nov 2020
MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models Dongrui Wu 20 1 0 01 Mar 2020
Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers Yuqi Cui Huidong Wang Dongrui Wu 33 5 0 27 Feb 2020
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression Dongrui Wu Chin-Teng Lin Jian Huang Zhigang Zeng 48 56 0 25 Mar 2019