315 related articles for article (PubMed ID: 26351449)
1. Impact of Noise on a Dynamical System: Prediction and Uncertainties from a Swarm-Optimized Neural Network.
López-Caraballo CH; Lazzús JA; Salfate I; Rojas P; Rivera M; Palma-Chilla L
Comput Intell Neurosci; 2015; 2015():145874. PubMed ID: 26351449
[TBL] [Abstract][Full Text] [Related]
2. Improving neural networks prediction accuracy using particle swarm optimization combiner.
Elragal HM
Int J Neural Syst; 2009 Oct; 19(5):387-93. PubMed ID: 19885966
[TBL] [Abstract][Full Text] [Related]
3. New parameter-free simplified swarm optimization for artificial neural network training and its application in the prediction of time series.
Yeh WC
IEEE Trans Neural Netw Learn Syst; 2013 Apr; 24(4):661-5. PubMed ID: 24808385
[TBL] [Abstract][Full Text] [Related]
4. Lattice dynamical wavelet neural networks implemented using particle swarm optimization for spatio-temporal system identification.
Wei HL; Billings SA; Zhao Y; Guo L
IEEE Trans Neural Netw; 2009 Jan; 20(1):181-5. PubMed ID: 19129037
[TBL] [Abstract][Full Text] [Related]
5. Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training.
Meissner M; Schmuker M; Schneider G
BMC Bioinformatics; 2006 Mar; 7():125. PubMed ID: 16529661
[TBL] [Abstract][Full Text] [Related]
6. New chaotic PSO-based neural network predictive control for nonlinear process.
Song Y; Chen Z; Yuan Z
IEEE Trans Neural Netw; 2007 Mar; 18(2):595-600. PubMed ID: 17385644
[TBL] [Abstract][Full Text] [Related]
7. Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms.
Garro BA; Vázquez RA
Comput Intell Neurosci; 2015; 2015():369298. PubMed ID: 26221132
[TBL] [Abstract][Full Text] [Related]
8. Evolutionary artificial neural networks by multi-dimensional particle swarm optimization.
Kiranyaz S; Ince T; Yildirim A; Gabbouj M
Neural Netw; 2009 Dec; 22(10):1448-62. PubMed ID: 19556105
[TBL] [Abstract][Full Text] [Related]
9. Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm.
Banadkooki FB; Ehteram M; Ahmed AN; Teo FY; Ebrahimi M; Fai CM; Huang YF; El-Shafie A
Environ Sci Pollut Res Int; 2020 Oct; 27(30):38094-38116. PubMed ID: 32621196
[TBL] [Abstract][Full Text] [Related]
10. An Approach to Improve the Performance of PM Forecasters.
de Mattos Neto PS; Cavalcanti GD; Madeiro F; Ferreira TA
PLoS One; 2015; 10(9):e0138507. PubMed ID: 26414182
[TBL] [Abstract][Full Text] [Related]
11. PSO-based cloning template design for CNN associative memories.
Giaquinto A; Fornarelli G
IEEE Trans Neural Netw; 2009 Nov; 20(11):1837-41. PubMed ID: 19783502
[TBL] [Abstract][Full Text] [Related]
12. Co-combustion of peanut hull and coal blends: Artificial neural networks modeling, particle swarm optimization and Monte Carlo simulation.
Buyukada M
Bioresour Technol; 2016 Sep; 216():280-6. PubMed ID: 27243606
[TBL] [Abstract][Full Text] [Related]
13. Compressive Strength Prediction of Rubber Concrete Based on Artificial Neural Network Model with Hybrid Particle Swarm Optimization Algorithm.
Huang XY; Wu KY; Wang S; Lu T; Lu YF; Deng WC; Li HM
Materials (Basel); 2022 May; 15(11):. PubMed ID: 35683231
[TBL] [Abstract][Full Text] [Related]
14. Particle swarm algorithm trained neural network for QSAR studies of inhibitors of platelet-derived growth factor receptor phosphorylation.
Shen Q; Shi WM; Yang XP; Ye BX
Eur J Pharm Sci; 2006 Aug; 28(5):369-76. PubMed ID: 16713200
[TBL] [Abstract][Full Text] [Related]
15. Spectrophotometric determination of synthetic colorants using PSO-GA-ANN.
Benvidi A; Abbasi S; Gharaghani S; Dehghan Tezerjani M; Masoum S
Food Chem; 2017 Apr; 220():377-384. PubMed ID: 27855914
[TBL] [Abstract][Full Text] [Related]
16. [Optimize the preparation process of Erigeron breviscapus sustained-release pellets based on artificial neural network and particle swarm optimization algorithm].
Zhang JX; Chen YZ; Wu ZN; Liao WR
Zhong Yao Cai; 2012 Jan; 35(1):127-33. PubMed ID: 22734423
[TBL] [Abstract][Full Text] [Related]
17. Application of artificial neural network coupling particle swarm optimization algorithm to biocatalytic production of GABA.
Huang J; Mei LH; Xia J
Biotechnol Bioeng; 2007 Apr; 96(5):924-31. PubMed ID: 16952178
[TBL] [Abstract][Full Text] [Related]
18. Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization.
Huang D; Wu Z
PLoS One; 2017; 12(2):e0172539. PubMed ID: 28222194
[TBL] [Abstract][Full Text] [Related]
19. Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems.
Luitel B; Venayagamoorthy GK
Neural Netw; 2010 Jun; 23(5):583-6. PubMed ID: 20071140
[TBL] [Abstract][Full Text] [Related]
20. Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm.
Wang JS; Han S
Comput Intell Neurosci; 2015; 2015():147843. PubMed ID: 26583034
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
