20.9.1. Machine Learning in Slope Failure Prediction

Try these first

1. 1.

   What is machine learning?

   Hint

   Think about how machines learn from data.

2. 2.

   Name one model used for slope stability classification?

   Hint

   Remember the acronym SVM!

3. 3.

   What does SVM stand for?

   • Support Vector Machines
   • Sequential Variable Matrix
   • Support Vector Model

   Hint

   Think about what it classifies.

4. 4.

   True or False: RNNs are best for analyzing static data.

   • True
   • False

   Hint

   Consider what type of data changes over time.

5. 5.

   Design an experiment where you use SVM to predict slope stability using real rainfall and soil data. What factors would you consider in your model?

   Hint

   Think about the relationships between your input variables.

6. 6.

   Using RNN, how would you analyze the historical movement of a known unstable slope to enhance future predictive models?

   Hint

   Think about key indicators of movement trends.