Improvement of spatiotemporal generalization in radiocesium transfer models for wheat using symbolic regression

2026/08/01 by Katsutoshi Seki, Noriko Yamaguchi, Tetsuya Eguchi +1

paper · doi:10.1016/j.jenvrad.2026.108077

crossref created 2026/06/14 · crossref issued 2026/08/01 · crossref published 2026/08/01 · crossref published-print 2026/08/01 · crossref deposited 2026/08/06 · crossref indexed 2026/08/06

Citations

• A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
• AI Feynman: a Physics-Inspired Method for Symbolic Regression
• Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
• Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
• Discovering governing equations from data: Sparse identification of nonlinear dynamical systems
• The Problem of Overfitting