Multiple Artificial Neural Networks with Interaction Noise for Estimation of Spatial Categorical Variables
Author:
Publisher
MDPI AG
Subject
Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science
Link
http://www.mdpi.com/1999-4893/9/3/56/pdf
Reference26 articles.
1. Modeling uncertainty in categorical fields;Cao,2016
2. Markov Chain Random Fields for Estimation of Categorical Variables
3. Theoretical generalization of Markov chain random field from potential function perspective
4. A multinomial logistic mixed model for the prediction of categorical spatial data
5. Spatial hidden Markov chain models for estimation of petroleum reservoir categorical variables
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1. Forecasting Economy-Related Data Utilizing Weight-Constrained Recurrent Neural Networks;Algorithms;2019-04-22
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