"Machine Learning Explainability for Solid Rocket Motor Simulation Using ..."

Tyler M. Sheils et al. (2025)

> Home

Details and statistics

DOI: 10.2514/1.I011355

access: closed

type: Journal Article

metadata version: 2025-09-15

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jacic/SheilsCCH25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jacic/SheilsCCH25
Tyler M. Sheils, Noel Cervantes, Mark Carpenter, Roy J. Hartfield:
Machine Learning Explainability for Solid Rocket Motor Simulation Using Shapley Additive ExPlanations. J. Aerosp. Inf. Syst. 22(8): 673-681 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.