The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Bayesian regularized artificial neural network for stock market forecasting
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Citations
Cites
A practical Bayesian framework for backpropagation networks
MacKay, D. J. C. (1992) · Neural Computation · doi:10.1162/neco.1992.4.3.448 · Cited by 2,917
Flexible neural trees ensemble for stock index modeling
Chen, Y., Yang, B., & Abraham, A. (2007) · Neurocomputing · doi:10.1016/j.neucom.2006.10.005 · Cited by 121
Cited by
Chong, E., Han, C., & Park, F. C. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.04.030 · Cited by 834
A systematic review of fundamental and technical analysis of stock market predictions
Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2020) · Artificial Intelligence Review · doi:10.1007/s10462-019-09754-z · Cited by 547
Chen, Y., & Hao, Y. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.02.044 · Cited by 382
Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review
Li, A. W., & Bastos, G. S. (2020) · IEEE Access · doi:10.1109/access.2020.3030226 · Cited by 186
Stock selection with random forest: An exploitation of excess return in the Chinese stock market
Tan, Z., Yan, Z., & Zhu, G. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e02310 · Cited by 107
“…the predictions of stock returns (Enke and Thawornwong, 2005; Khashei and Bijari, 2010; Hassan et al., 2007; Guresen et al., 2011; Jia et al., 2012; Ticknor, 2013; Babu and Reddy, 2014; Rather et al., 2015), investment managers focus primarily on the screening and categorization of stocks that can…”
Background
Metadata
- Authors
- Ticknor, J. L.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 40
- Issue
- 14
- Pages
- 5501-5506
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2053615983
- Cited by
- 517
- References
- 2
- FWCI
- 29.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Bayesian regularized artificial neural network for stock market forecasting. https://app.cochat.ai/papers/10.1016/j.eswa.2013.04.013
- The paper
- Ticknor, J. L. (2013). A Bayesian regularized artificial neural network for stock market forecasting. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2013.04.013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
