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Comparative study of feedforward neural network and NGBoost for proton separation energy predictions
Journal article comparing feedforward neural network and NGBoost approaches for predicting proton separation energies, published by World Scientific Pub Co Pte Ltd on 2026-09-28.
Categories: science-and-space
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 2/10
- Geographic reach
- 1/10
- Global importance
- 2/10
- Impact magnitude
- 3/10
- Positivity
- 6/10
- Urgency
- 1/10
Why it matters
The study reports comparative methods for predicting proton separation energies, which is relevant to nuclear physics research.
Sources
- Comparative study of feedforward neural network and NGBoost for proton separation energy predictions

