Layer Normalization for TSK Fuzzy System Optimization in Regression Problems-Reference-Cited by-同舟云学术

Layer Normalization for TSK Fuzzy System Optimization in Regression Problems

Published:2023-01 Issue:1 Volume:31 Page:254-264
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Cui Yuqi¹,Xu Yifan¹^ORCID,Peng Ruimin¹^ORCID,Wu Dongrui¹^ORCID

Affiliation:

1. Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control and School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Technology Innovation Project of Hubei Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/10003087/09804236.pdf?arnumber=9804236

Reference37 articles.

1. Artificial Neural Networks are Zero-Order TSK Fuzzy Systems

2. A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification

3. On large-batch training for deep learning: Generalization gap and sharp minima;keskar;Proc Int Conf Learn Representations,0

4. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction

5. Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions

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