123 related articles for article (PubMed ID: 30207965)
1. Universal Approximation Capability of Broad Learning System and Its Structural Variations.
Chen CLP; Liu Z; Feng S
IEEE Trans Neural Netw Learn Syst; 2019 Apr; 30(4):1191-1204. PubMed ID: 30207965
[TBL] [Abstract][Full Text] [Related]
2. Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture.
Chen CLP; Liu Z
IEEE Trans Neural Netw Learn Syst; 2018 Jan; 29(1):10-24. PubMed ID: 28742048
[TBL] [Abstract][Full Text] [Related]
3. Recurrent Broad Learning Systems for Time Series Prediction.
Xu M; Han M; Chen CLP; Qiu T
IEEE Trans Cybern; 2020 Apr; 50(4):1405-1417. PubMed ID: 30207976
[TBL] [Abstract][Full Text] [Related]
4. Frequency Principle in Broad Learning System.
Chen GY; Gan M; Chen CLP; Zhu HT; Chen L
IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6983-6989. PubMed ID: 34048351
[TBL] [Abstract][Full Text] [Related]
5. Broad Learning System Based on Maximum Correntropy Criterion.
Zheng Y; Chen B; Wang S; Wang W
IEEE Trans Neural Netw Learn Syst; 2021 Jul; 32(7):3083-3097. PubMed ID: 32706648
[TBL] [Abstract][Full Text] [Related]
6. Research Review for Broad Learning System: Algorithms, Theory, and Applications.
Gong X; Zhang T; Chen CLP; Liu Z
IEEE Trans Cybern; 2022 Sep; 52(9):8922-8950. PubMed ID: 33729975
[TBL] [Abstract][Full Text] [Related]
7. Fractional Approximation of Broad Learning System.
Wu S; Wang J; Sun H; Zhang K; Pal NR
IEEE Trans Cybern; 2024 Feb; 54(2):811-824. PubMed ID: 35622792
[TBL] [Abstract][Full Text] [Related]
8. Broad Learning With Reinforcement Learning Signal Feedback: Theory and Applications.
Mao R; Cui R; Chen CLP
IEEE Trans Neural Netw Learn Syst; 2022 Jul; 33(7):2952-2964. PubMed ID: 33460385
[TBL] [Abstract][Full Text] [Related]
9. Tree Broad Learning System for Small Data Modeling.
Xia H; Tang J; Yu W; Qiao J
IEEE Trans Neural Netw Learn Syst; 2022 Nov; PP():. PubMed ID: 36327179
[TBL] [Abstract][Full Text] [Related]
10. Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling.
Chu F; Liang T; Chen CLP; Wang X; Ma X
IEEE Trans Neural Netw Learn Syst; 2020 Aug; 31(8):3017-3031. PubMed ID: 31514158
[TBL] [Abstract][Full Text] [Related]
11. GreenSea: Visual Soccer Analysis Using Broad Learning System.
Sheng B; Li P; Zhang Y; Mao L; Chen CLP
IEEE Trans Cybern; 2021 Mar; 51(3):1463-1477. PubMed ID: 32452777
[TBL] [Abstract][Full Text] [Related]
12. When Broad Learning System Meets Label Noise Learning: A Reweighting Learning Framework.
Liu L; Chen J; Yang B; Feng Q; Chen CLP
IEEE Trans Neural Netw Learn Syst; 2023 Oct; PP():. PubMed ID: 37788190
[TBL] [Abstract][Full Text] [Related]
13. Face Sketch Synthesis Using Regularized Broad Learning System.
Li P; Sheng B; Chen CLP
IEEE Trans Neural Netw Learn Syst; 2022 Oct; 33(10):5346-5360. PubMed ID: 33852397
[TBL] [Abstract][Full Text] [Related]
14. A Hybrid Recursive Implementation of Broad Learning With Incremental Features.
Liu D; Baldi S; Yu W; Chen CLP
IEEE Trans Neural Netw Learn Syst; 2022 Apr; 33(4):1650-1662. PubMed ID: 33351769
[TBL] [Abstract][Full Text] [Related]
15. A novel biomedical image indexing and retrieval system via deep preference learning.
Pang S; Orgun MA; Yu Z
Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
[TBL] [Abstract][Full Text] [Related]
16. Weighted Generalized Cross-Validation-Based Regularization for Broad Learning System.
Gan M; Zhu HT; Chen GY; Chen CLP
IEEE Trans Cybern; 2022 May; 52(5):4064-4072. PubMed ID: 32903193
[TBL] [Abstract][Full Text] [Related]
17. A Pseudoinversion-Free Method for Weight Updating in Broad Learning System.
Liu M; Chen X; Shang M; Li H
IEEE Trans Neural Netw Learn Syst; 2024 Feb; 35(2):2378-2389. PubMed ID: 35839197
[TBL] [Abstract][Full Text] [Related]
18. Deep Recurrent Neural Networks for Human Activity Recognition.
Murad A; Pyun JY
Sensors (Basel); 2017 Nov; 17(11):. PubMed ID: 29113103
[TBL] [Abstract][Full Text] [Related]
19. A Community Detection Approach to Cleaning Extremely Large Face Database.
Jin C; Jin R; Chen K; Dou Y
Comput Intell Neurosci; 2018; 2018():4512473. PubMed ID: 29849547
[TBL] [Abstract][Full Text] [Related]
20. Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR.
Winkler DA; Le TC
Mol Inform; 2017 Jan; 36(1-2):. PubMed ID: 27783464
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]