These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

165 related articles for article (PubMed ID: 30376580)

  • 1. Ship roll motion prediction based on ℓ1 regularized extreme learning machine.
    Guan B; Yang W; Wang Z; Tang Y
    PLoS One; 2018; 13(10):e0206476. PubMed ID: 30376580
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine.
    Li Y; Jiang P; She Q; Lin G
    Environ Pollut; 2018 Oct; 241():1115-1127. PubMed ID: 30029320
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines.
    Abuassba AOM; Zhang D; Luo X; Shaheryar A; Ali H
    Comput Intell Neurosci; 2017; 2017():3405463. PubMed ID: 28546808
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
    Huynh HT; Won Y; Kim JJ
    Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Adaptive control of nonlinear system using online error minimum neural networks.
    Jia C; Li X; Wang K; Ding D
    ISA Trans; 2016 Nov; 65():125-132. PubMed ID: 27522102
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radar HRRP Target Recognition Based on Stacked Autoencoder and Extreme Learning Machine.
    Zhao F; Liu Y; Huo K; Zhang S; Zhang Z
    Sensors (Basel); 2018 Jan; 18(1):. PubMed ID: 29320453
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics.
    Deng WY; Bai Z; Huang GB; Zheng QH
    Neural Netw; 2016 May; 77():14-28. PubMed ID: 26907860
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bidirectional extreme learning machine for regression problem and its learning effectiveness.
    Yang Y; Wang Y; Yuan X
    IEEE Trans Neural Netw Learn Syst; 2012 Sep; 23(9):1498-505. PubMed ID: 24807932
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A fast and accurate online sequential learning algorithm for feedforward networks.
    Liang NY; Huang GB; Saratchandran P; Sundararajan N
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1411-23. PubMed ID: 17131657
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Extreme learning machine Cox model for high-dimensional survival analysis.
    Wang H; Li G
    Stat Med; 2019 May; 38(12):2139-2156. PubMed ID: 30632193
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme.
    Xie J; Liu S; Dai H
    Neural Netw; 2019 Nov; 119():261-272. PubMed ID: 31473577
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Extreme Learning Machine With Affine Transformation Inputs in an Activation Function.
    Cao J; Zhang K; Yong H; Lai X; Chen B; Lin Z
    IEEE Trans Neural Netw Learn Syst; 2019 Jul; 30(7):2093-2107. PubMed ID: 30442621
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.
    Kim J; Kim J; Jang GJ; Lee M
    Neural Netw; 2017 Mar; 87():109-121. PubMed ID: 28110106
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Universal approximation of extreme learning machine with adaptive growth of hidden nodes.
    Zhang R; Lan Y; Huang GB; Xu ZB
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):365-71. PubMed ID: 24808516
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adaptive Online Sequential ELM for Concept Drift Tackling.
    Budiman A; Fanany MI; Basaruddin C
    Comput Intell Neurosci; 2016; 2016():8091267. PubMed ID: 27594879
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors.
    Heddam S; Kisi O
    Environ Sci Pollut Res Int; 2017 Jul; 24(20):16702-16724. PubMed ID: 28560629
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Drug discrimination by near infrared spectroscopy based on summation wavelet extreme learning machine].
    Liu ZB; Jiang SJ; Yang HH; Zhang XB
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Oct; 34(10):2815-20. PubMed ID: 25739231
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel multiple instance learning method based on extreme learning machine.
    Wang J; Cai L; Peng J; Jia Y
    Comput Intell Neurosci; 2015; 2015():405890. PubMed ID: 25705220
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Extreme Learning Machine Based on Artificial Immune System.
    Tian HY; Li SJ; Wu TQ; Yao M
    Comput Intell Neurosci; 2018; 2018():3635845. PubMed ID: 30046299
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification.
    Pang S; Yang X
    Comput Intell Neurosci; 2016; 2016():3049632. PubMed ID: 27610128
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.