Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy-Reference-Cited by-同舟云学术

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Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy

Published:2023 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Liu Zhiming¹,Li Jinhai¹^ORCID,Zhang Xiao²^ORCID,Wang Xi-Zhao³^ORCID

Affiliation:

1. Data Science Research Center and the Faculty of Science, Kunming University of Science and Technology, Kunming, China

2. Department of Applied Mathematics, Xi’an University of Technology, Xi’an, China

3. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10328658.pdf?arnumber=10328658

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IFCRL: Interval-Intent Fuzzy Concept Re-Cognition Learning Model;IEEE Transactions on Fuzzy Systems;2024-06

2. A preliminary study on few-shot knowledge reasoning mechanism based on three-way partial order structure;Information Sciences;2024-04

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