Spatially Explicit Hyperparameter Optimization for Neural Networks

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Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of...

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Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of...

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  • Formats: pdf
  • ISBN: 9789811653995
  • Publication Date: 18 Oct 2021
  • Publisher: Springer Nature Singapore
  • Product language: English
  • Drm Setting: DRM