Journal of Geology & Geophysics
Open Access

Justyna Pastwa

Publications

• Research Article
  Testing Artificial Neural Network (ANN) for Spatial Interpolation
  Author(s): Veronika Nevtipilova, Justyna Pastwa, Mukesh Singh Boori, and Vit Vozenilek Veronika Nevtipilova, Justyna Pastwa, Mukesh Singh Boori, and Vit Vozenilek
  
  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 of neurons in hidden layers was the main tested parameter. Results indicate that MLP model in the ANN module implemented in GRASS can be u.. View More»
  DOI: 10.4172/2329-6755.1000145

  Abstract PDF

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