A novel variable selection algorithm based on neural network for near-infrared spectral modeling
{{output}}
Background: Partial least squares (PLS) is a widely used technique for modeling spectral data. Researchers have developed numerous PLS-based variable selection algorithms to enhance model predictive ability and interpretability. ... ...
