A Novel Fuzzy Rule Based Neuro-system with Sparse Rule Extraction for Classification Problems-Reference-Cited by-同舟云学术

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A Novel Fuzzy Rule Based Neuro-system with Sparse Rule Extraction for Classification Problems

Published:2022-10-14 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Information Science and Technology (ICIST)
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Author:

Ren Qilin¹,Xue Guangdong²,Gong Xiaoling²,Wang Jian¹

Affiliation:

1. College of Science, China University of Petroleum (East China),Qingdao,China

2. College of Control Science and Engineering, China University of Petroleum (East China),Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926748/9926742/09926893.pdf?arnumber=9926893

Reference26 articles.

1. Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm

2. Feature Selection With Controlled Redundancy in a Fuzzy Rule Based Framework

3. Optimize TSK Fuzzy Systems for Classification Problems: Minibatch Gradient Descent With Uniform Regularization and Batch Normalization

4. On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm

5. Learning data streams online — An evolving fuzzy system approach with self-learning/adaptive thresholds

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