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Landslide susceptibility modeling by interpretable neural network - Communications Earth & Environment

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Landslide susceptibility modeling by interpretable neural network - Communications Earth & Environment

Landslides are notoriously difficult to predict because numerous spatially and temporally varying factors contribute to slope stability. Artificial neural networks (ANN) have been shown to improve prediction accuracy but are largely uninterpretable. Here we introduce an additive ANN optimization framework to assess landslide susceptibility, as well as dataset division and outcome interpretation techniques.

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productivity technology environment ecology nature earth neural neural network landslide interpretable ai artificial intelligence

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Landslide susceptibility modeling by interpretable neural network - Communications Earth & Environment

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Landslide susceptibility modeling by interpretable neural network - Communications Earth & Environment

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