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1
Predicting the Trends of Stock Price By CNN-BiLSTM-AM and F..:
, In:
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
,
Hao, Pei-Yi
- p. 819-825 , 2022
Link:
https://doi.org/10.1109/CSCI58124.2022.00149
RT T1 <cTitle>2022 International Conference on Computational Science and Computational Intelligence (CSCI)</cTitle>: T1 <Title>Predicting the Trends of Stock Price By CNN-BiLSTM-AM and Fuzzy Twin Support Vector Machine From Social Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10216727&Exemplar=1&LAN=DE A1 Hao, Pei-Yi YR 2022 SN 2769-5654 K1 Social networking (online) K1 Time series analysis K1 Symbols K1 Predictive models K1 Feature extraction K1 Internet K1 Indexes K1 Stock prediction K1 Fuzzy support vector machine K1 Convolutional neural networks K1 bi-directional long short-term memory K1 Attention mechanism SP 819 OP 825 LK http://dx.doi.org/https://doi.org/10.1109/CSCI58124.2022.00149 DO https://doi.org/10.1109/CSCI58124.2022.00149 SF ELIB - SuUB Bremen
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