Multiple artificial neural networks with interaction noise for estimation of spatial categorical variables
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Publication:1736824
DOI10.3390/A9030056zbMath1461.62171OpenAlexW2517474037MaRDI QIDQ1736824
Publication date: 26 March 2019
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a9030056
Learning and adaptive systems in artificial intelligence (68T05) Neural nets and related approaches to inference from stochastic processes (62M45)
Cites Work
- Unnamed Item
- Unnamed Item
- The nu expression for probabilistic data integration
- CART algorithm for spatial data: application to environmental and ecological data
- Markov chain random fields for estimation of categorical variables
- The tau model for data redundancy and information combination in earth sciences: theory and application
- Advances in artificial neural networks -- methodological development and application
- Conditional simulation of complex geological structures using multiple-point statistics
- MODELING THE SPATIAL DISTRIBUTION OF MINERAL DEPOSITS USING NEURAL NETWORKS
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