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

26 March 2019

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
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 20 53 0 25 Mar 2019
Adaptive Gradient Methods with Dynamic Bound of Learning Rate Liangchen Luo Yuanhao Xiong Yan Liu Xu Sun ODL 74 602 0 26 Feb 2019
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 193 2,198 0 24 Jun 2012