Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction
type: Item
instance of: scholarly article
title: Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction
zbMATH Open document ID: 1505.62400
author: A. Tavassoli
author: Y. Waghei
author: Alireza Nazemi
published in: Computational Statistics
publication date: 2022-11-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 86A32
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7616918
zbMATH Keywords: artificial neural network
zbMATH Keywords: inverse distance weighting
zbMATH Keywords: spatial prediction
zbMATH Keywords: simulation
zbMATH Keywords: multilayer perceptron
zbMATH Keywords: nearest neighbor
describes a project that uses: brnn
describes a project that uses: caret
describes a project that uses: geoR
MaRDI profile type: Publication
full work available at URL: s00180-021-01186-0
OpenAlex ID: W4205912348
cites work: Q4893747
cites work: Q5483032
cites work: Statistics for Spatial Data
cites work: Model-based geostatistics.
cites work: Evaluation of interpolation accuracy of neural kriging with application to temperature-distribution analysis
cites work: Integrating data-to-data correlation into inverse distance weighting
cites work: A Concordance Correlation Coefficient to Evaluate Reproducibility
cites work: Q5444719
cites work: Learning representations by back-propagating errors
cites work: Comparison of Kriging and artificial neural network models for the prediction of spatial data
cites work: Geostatistics for Environmental Scientists
DOI: 10.1007/S00180-021-01186-0
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description: scientific article; zbMATH DE number 7616918