BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

252 related articles for article (PubMed ID: 30867661)

  • 21. Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network.
    Staffini A
    Front Artif Intell; 2022; 5():837596. PubMed ID: 35187477
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Impact of chart image characteristics on stock price prediction with a convolutional neural network.
    Jin G; Kwon O
    PLoS One; 2021; 16(6):e0253121. PubMed ID: 34161352
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models.
    Shahvaroughi Farahani M; Razavi Hajiagha SH
    Soft comput; 2021; 25(13):8483-8513. PubMed ID: 33935586
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer.
    Rani R HJ; Victoire T AA
    PLoS One; 2018; 13(5):e0196871. PubMed ID: 29768463
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation.
    Guo F; Huang Q
    Comput Intell Neurosci; 2021; 2021():4850020. PubMed ID: 34335716
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A constructive hybrid structure optimization methodology for radial basis probabilistic neural networks.
    Huang DS; Du JX
    IEEE Trans Neural Netw; 2008 Dec; 19(12):2099-115. PubMed ID: 19054734
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Sparrow Search Algorithm-Optimized Long Short-Term Memory Model for Stock Trend Prediction.
    Liu F; Qin P; You J; Fu Y
    Comput Intell Neurosci; 2022; 2022():3680419. PubMed ID: 35990139
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks.
    Bas E; Egrioglu E; Yolcu U; Chen MY
    Big Data; 2023 Apr; 11(2):105-116. PubMed ID: 36315168
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Financial Time Series Prediction Using Elman Recurrent Random Neural Networks.
    Wang J; Wang J; Fang W; Niu H
    Comput Intell Neurosci; 2016; 2016():4742515. PubMed ID: 27293423
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data.
    Kim T; Kim HY
    PLoS One; 2019; 14(2):e0212320. PubMed ID: 30768647
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Forecasting stock prices with long-short term memory neural network based on attention mechanism.
    Qiu J; Wang B; Zhou C
    PLoS One; 2020; 15(1):e0227222. PubMed ID: 31899770
    [TBL] [Abstract][Full Text] [Related]  

  • 33. RBF neural network based PI pitch controller for a class of 5-MW wind turbines using particle swarm optimization algorithm.
    Poultangari I; Shahnazi R; Sheikhan M
    ISA Trans; 2012 Sep; 51(5):641-8. PubMed ID: 22738782
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Taking advantage of hybrid bioinspired intelligent algorithm with decoupled extended Kalman filter for optimizing growing and pruning radial basis function network.
    Chai Z; Song W; Bao Q; Ding F; Liu F
    R Soc Open Sci; 2018 Sep; 5(9):180529. PubMed ID: 30839667
    [TBL] [Abstract][Full Text] [Related]  

  • 36. An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting.
    Kumar G; Singh UP; Jain S
    Soft comput; 2022; 26(22):12115-12135. PubMed ID: 36043118
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Effectively training neural networks for stock index prediction: Predicting the S&P 500 index without using its index data.
    Lee J; Kang J
    PLoS One; 2020; 15(4):e0230635. PubMed ID: 32275721
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Hybrid neural intelligent system to predict business failure in small-to-medium-size enterprises.
    Borrajo ML; Baruque B; Corchado E; Bajo J; Corchado JM
    Int J Neural Syst; 2011 Aug; 21(4):277-96. PubMed ID: 21809475
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and particle swarm optimization techniques.
    Chen SM; Manalu GM; Pan JS; Liu HC
    IEEE Trans Cybern; 2013 Jun; 43(3):1102-17. PubMed ID: 23193240
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.