192 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. 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]
3. 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]
4. 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]
5. 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]
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]