The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A Novel Approach for Time Series Forecasting with Multiobjective Clonal Selection Optimization and Modeling
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“This behaviour suggests that GARD composomes are attractors in compositional dynamics, as discussed [62,106], conforming to the definition of ‘a set of numerical values toward which a system tends to evolve, for a wide variety of starting conditions' [107, p. 113].”
From Systems protobiology: origin of life in lipid catalytic networks (2018) · cites this paper as [107]
Citations
Cites
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Self-citation
Research works printed but not linked: 5
- Astakhova, N.N., Demidova, L.A., Nikulchev, E.V.: Forecasting method for grouped time series with the use of K-Means algorithm. Appl. Math. Sci. 9(97), 4813–4830 (2015)
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Cited by
Systems protobiology: origin of life in lipid catalytic networks
Lancet, D., Zidovetzki, R., & Markovitch, O. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2018.0159 · Cited by 182
Metadata
- Authors
- Astakhova, N. N., Demidova, L. A., & Nikulchev, E. V.
- Affiliations
- Ryazan State Radio Engineering University (RU)
- Moscow Technological Institute (RU)
- Corresponding author
- Astakhova, N. N.
- Venue
- Studies in Computational Intelligence
- Publisher
- Springer International Publishing
- Published
- 2017-12-31
- Pages
- 105-130
- ISSN
- 1860-949X (ISSN-L)
- 1860-9503
- OpenAlex
- W2779996916
- Cited by
- 1
- References
- 22
- Citations by year
- 2018: 1
- FWCI
- 0.54
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Studies in computational intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Immune Systems Applications
- Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Keywords
- time series forecasting, Pareto dominance, short-term forecasting, group forecasting, attractors, fractal dimension
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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.
