Testing Artificial Neural Network (ANN) for Spatial Interpolation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33152902" target="_blank" >RIV/61989592:15310/14:33152902 - isvavai.cz</a>
Result on the web
<a href="http://omicsgroup.org/journals/testing-artificial-neural-network-ann-for-spatial-interpolation-2329-6755.1000145.pdf" target="_blank" >http://omicsgroup.org/journals/testing-artificial-neural-network-ann-for-spatial-interpolation-2329-6755.1000145.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4172/2329-6755.1000145" target="_blank" >10.4172/2329-6755.1000145</a>

Result language
angličtina
Original language name
Testing Artificial Neural Network (ANN) for Spatial Interpolation
Original language description
The aim of this research is to test Artificial Neural Network (ANN) package in GRASS 6.4 software for spatial interpolation and to compare it with common interpolation techniques IDW and ordinary kriging. This package was also compared with neural networks packages Nnet and Neuralnet available in software R Project. The entire packages uses multi-layer perceptron (MLP) model trained with the back propagation algorithm. Evaluation methods were based mainly on RMSE. All the tests were done on artificial data created in R Project software; which simulated three surfaces with different characteristics. In order to find the best configuration for the multilayer perceptron many different settings of network were tested (test-and-trial method). The number ofneurons in hidden layers was the main tested parameter. Results indicate that MLP model in the ANN module implemented in GRASS can be used for spatial interpolation purposes. However the resulting RMSE was higher than RMSE from IDW and or
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Project
<a href="/en/project/EE2.3.30.0041" target="_blank" >EE2.3.30.0041: POST-UP II.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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