Four ML regression models (SVR, GBR, GPR, MLP) trained on BCDMS data predict F_2^p(x, Q^2) with MLP and GPR performing best according to k-fold cross-validation.
Nonsinglet distri- bution functions using the neural network and ge- netic algorithm,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
hep-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Machine Learning for Predicting the Proton Structure Function $F_2^P$ in QCD
Four ML regression models (SVR, GBR, GPR, MLP) trained on BCDMS data predict F_2^p(x, Q^2) with MLP and GPR performing best according to k-fold cross-validation.