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Spatially Explicit Hyperparameter Optimization for Neural Networks

About Spatially Explicit Hyperparameter Optimization for Neural Networks

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.

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  • Language:
  • English
  • ISBN:
  • 9789811653988
  • Binding:
  • Hardback
  • Pages:
  • 108
  • Published:
  • October 18, 2021
  • Edition:
  • 2022
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 366 g.
Delivery: 2-4 weeks
Expected delivery: October 11, 2025

Description of Spatially Explicit Hyperparameter Optimization for Neural Networks

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.

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