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.
126 related articles for article (PubMed ID: 33794415)
1. Bidirectional stochastic configuration network for regression problems. Cao W; Xie Z; Li J; Xu Z; Ming Z; Wang X Neural Netw; 2021 Aug; 140():237-246. PubMed ID: 33794415 [TBL] [Abstract][Full Text] [Related]
2. Stochastic Configuration Networks: Fundamentals and Algorithms. Wang D; Li M IEEE Trans Cybern; 2017 Oct; 47(10):3466-3479. PubMed ID: 28841561 [TBL] [Abstract][Full Text] [Related]
3. Optimal Randomness for Stochastic Configuration Network (SCN) with Heavy-Tailed Distributions. Niu H; Wei J; Chen Y Entropy (Basel); 2020 Dec; 23(1):. PubMed ID: 33396383 [TBL] [Abstract][Full Text] [Related]
4. FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction. Gao Y; Luan F; Pan J; Li X; He Y Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32731462 [TBL] [Abstract][Full Text] [Related]
5. Quantitative analysis of spectral data based on stochastic configuration networks. Zhang L; Huang Z; Zhang X Anal Methods; 2024 Jul; 16(28):4794-4806. PubMed ID: 38961818 [TBL] [Abstract][Full Text] [Related]
6. A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples. Zhao Y; Deng X; Li S ISA Trans; 2023 Aug; 139():548-560. PubMed ID: 37117050 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. A regularized stochastic configuration network based on weighted mean of vectors for regression. Wang Y; Zhou T; Yang G; Zhang C; Li S PeerJ Comput Sci; 2023; 9():e1382. PubMed ID: 37346579 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Stochastic configuration network ensembles with selective base models. Huang C; Li M; Wang D Neural Netw; 2021 May; 137():106-118. PubMed ID: 33581381 [TBL] [Abstract][Full Text] [Related]
11. A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification. Li H; Zhang L IEEE Trans Neural Netw Learn Syst; 2021 Nov; 32(11):4901-4915. PubMed ID: 33017295 [TBL] [Abstract][Full Text] [Related]
12. Stochastic configuration networks with fast implementations. Tian Z; Zhang H Rev Sci Instrum; 2021 Dec; 92(12):125109. PubMed ID: 34972390 [TBL] [Abstract][Full Text] [Related]
13. An unsupervised parameter learning model for RVFL neural network. Zhang Y; Wu J; Cai Z; Du B; Yu PS Neural Netw; 2019 Apr; 112():85-97. PubMed ID: 30771727 [TBL] [Abstract][Full Text] [Related]
14. A new learning paradigm for random vector functional-link network: RVFL. Zhang PB; Yang ZX Neural Netw; 2020 Feb; 122():94-105. PubMed ID: 31677442 [TBL] [Abstract][Full Text] [Related]
15. The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise. Frazier-Logue N; Hanson SJ Neural Comput; 2020 May; 32(5):1018-1032. PubMed ID: 32187001 [TBL] [Abstract][Full Text] [Related]
16. Single-hidden-layer feed-forward quantum neural network based on Grover learning. Liu CY; Chen C; Chang CT; Shih LM Neural Netw; 2013 Sep; 45():144-50. PubMed ID: 23545155 [TBL] [Abstract][Full Text] [Related]
17. Extreme Learning Machine With Subnetwork Hidden Nodes for Regression and Classification. Yang Y; Wu QM IEEE Trans Cybern; 2016 Dec; 46(12):2885-2898. PubMed ID: 26552104 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Error minimized extreme learning machine with growth of hidden nodes and incremental learning. Feng G; Huang GB; Lin Q; Gay R IEEE Trans Neural Netw; 2009 Aug; 20(8):1352-7. PubMed ID: 19596632 [TBL] [Abstract][Full Text] [Related]
20. A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network. Xie J; Liu S; Dai H Neural Netw; 2019 Oct; 118():300-309. PubMed ID: 31330270 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]