NIR pre-selection data using modified changeable size moving window partial least squares and pure spectral chemometrical modeling with ant colony optimization for wheat flour characterization
Research article (Chemometrics and Intelligent Laboratory Systems, 2015) · cited 12× · AI/ML
Press Enter · cited answer in seconds
0 sources
NIR pre-selection data using modified changeable size moving window partial least squares and pure spectral chemometrical modeling with ant colony optimization for wheat flour characterization
Summary
NIR pre-selection data using modified changeable size moving window partial least squares and pure spectral chemometrical modeling with ant colony optimization for wheat flour characterization is a scholarly article[1].
Key Facts
- NIR pre-selection data using modified changeable size moving window partial least squares and pure spectral chemometrical modeling with ant colony optimization for wheat flour characterization's instance of is recorded as scholarly article[2].