The DOI matches its Crossref record.
Proceedings of the International Joint Conference on Neural Networks, 2003.
Abstract
In this paper we establish a simple hybrid cognition system which is based on neural netwoks and fuzzy decision theory.For the purpose of analyzing the trends of stock market, we expect that the system can reflect the dynamical character or chsot ic performance of a trading stock market. The whole procedure of the system include: data preprocessing, neural network classif icat ion, fuzzy decision and forecast ing,
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Cited by
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Approximation capabilities of multilayer feedforward networks
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Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
Hornik, K., Stinchcombe, M., & White, H. (1990) · Neural Networks · doi:10.1016/0893-6080(90)90005-6 · Cited by 2,111
Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
Sakurada, M., & Yairi, T. (2014) · Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis · doi:10.1145/2689746.2689747 · Cited by 1,438
Metadata
- Publisher
- IEEE
- Published
- 2003
- OpenAlex
- W3145013517
- Cited by
- 1,674
- References
- 0
- Type
- paratext
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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.
