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 *

183 related articles for article (PubMed ID: 30596772)

  • 1. Forecasting leading industry stock prices based on a hybrid time-series forecast model.
    Tsai MC; Cheng CH; Tsai MI; Shiu HY
    PLoS One; 2018; 13(12):e0209922. PubMed ID: 30596772
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Hybrid deep learning models with multi-classification investor sentiment to forecast the prices of China's leading stocks.
    Niu H; Pan Q; Xu K
    PLoS One; 2023; 18(11):e0294460. PubMed ID: 38011183
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A feature fusion based forecasting model for financial time series.
    Guo Z; Wang H; Liu Q; Yang J
    PLoS One; 2014; 9(6):e101113. PubMed ID: 24971455
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Stock Market Forecasting Using Restricted Gene Expression Programming.
    Yang B; Zhang W; Wang H
    Comput Intell Neurosci; 2019; 2019():7198962. PubMed ID: 30867661
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Selection of the optimal trading model for stock investment in different industries.
    Lv D; Huang Z; Li M; Xiang Y
    PLoS One; 2019; 14(2):e0212137. PubMed ID: 30759146
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stock trading using RSPOP: a novel rough set-based neuro-fuzzy approach.
    Ang KK; Quek C
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1301-15. PubMed ID: 17001989
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets.
    Pyo S; Lee J; Cha M; Jang H
    PLoS One; 2017; 12(11):e0188107. PubMed ID: 29136004
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Financial time series forecasting using twin support vector regression.
    Gupta D; Pratama M; Ma Z; Li J; Prasad M
    PLoS One; 2019; 14(3):e0211402. PubMed ID: 30865670
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Prediction of Enterprise Stock Change Trend by Deep Neural Network Model.
    Ma G; Chen P; Liu Z; Liu J
    Comput Intell Neurosci; 2022; 2022():9193055. PubMed ID: 35958787
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stock Market Prediction Using Optimized Deep-ConvLSTM Model.
    Kelotra A; Pandey P
    Big Data; 2020 Feb; 8(1):5-24. PubMed ID: 32073904
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network.
    Guan H; Dai Z; Zhao A; He J
    PLoS One; 2018; 13(2):e0192366. PubMed ID: 29420584
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model.
    Pai PF; Hong LC; Lin KP
    Comput Intell Neurosci; 2018; 2018():6305246. PubMed ID: 30140278
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Hybrid machine learning technique for forecasting Dhaka stock market timing decisions.
    Banik S; Khodadad Khan AF; Anwer M
    Comput Intell Neurosci; 2014; 2014():318524. PubMed ID: 24701205
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Developing a novel stock index trend predictor model by integrating multiple criteria decision-making with an optimized online sequential extreme learning machine.
    Samal S; Dash R
    Granul Comput; 2023; 8(3):411-440. PubMed ID: 38625260
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Forecasting Financial Extremes: A Network Degree Measure of Super-Exponential Growth.
    Yan W; van Tuyll van Serooskerken E
    PLoS One; 2015; 10(9):e0128908. PubMed ID: 26339793
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Hybrid System Based on Dynamic Selection for Time Series Forecasting.
    de Oliveira JFL; Silva EG; de Mattos Neto PSG
    IEEE Trans Neural Netw Learn Syst; 2022 Aug; 33(8):3251-3263. PubMed ID: 33513115
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Establishment of Economic Forecasting Model of High-tech Industry Based on Genetic Optimization Neural Network.
    Gao K; Liu T; Hu B; Hao M; Zhang Y
    Comput Intell Neurosci; 2022; 2022():2128370. PubMed ID: 35535192
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Stock price forecasting based on Hausdorff fractional grey model with convolution and neural network.
    Dong W; Zhao C
    Math Biosci Eng; 2021 Apr; 18(4):3323-3347. PubMed ID: 34198388
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.