ML4WX

Applications & impacts

Neural networks to classify atmospheric turbulence from flight test data: an optimization of input parameters for a generic model

M.M. de Oliveira, Gabriel S. Mayor, Joao Paulo Macedo, Jorge Henrique Bidinotto

Journal of the Brazilian Society of Mechanical Sciences and Engineering ·

Paper

In one sentence. Neural networks classify atmospheric turbulence encountered in aircraft flight test data, with input parameters optimized for a generic model.

Labels

Topic
Applications & impacts
Type
Application study
Method
Classical ML (trees, GP, linear, kernels)
Domain
Local / station
Data
Other
Status
Research
Identifiers
DOI:10.1007/s40430-022-03386-1 OpenAlex:W4212947390
Added
2026-10-22

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