Deep Learning for Hydrometeorology and Environmental Science

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This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality).

Deep learning is known as part of machi...

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epub
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109.50 £

This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality).

Deep learning is known as part of machi...

Read more
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  • Formats: epub
  • ISBN: 9783030647773
  • Publication Date: 27 Jan 2021
  • Publisher: Springer International Publishing
  • Product language: English
  • Drm Setting: DRM