Topic B: Modeling Gasoline Octane Number
With the development and use of computers and various program software today, chemometrics continues to develop. People can collect a large amount of data in the near-infrared spectral region, and use various effective statistical methods to apply near-infrared spectroscopy to qualitative and Quantitative. Near-infrared spectroscopy is the frequency doubling and combined spectrum bands of molecular vibrational spectroscopy. It mainly absorbs hydrogen-containing groups and contains rich information on the composition and molecular structure of most types of organic substances. The principle is based on different groups. Or the difference in the absorption wavelength of the same group in different chemical environments. This technology is fast, simple, does not need to be processed, and is suitable for online analysis. Near-infrared spectroscopy technology is mainly used in agricultural products, medicine, pharmaceuticals and other industries. The direction is related to instrument improvements and new chemometric algorithms. Common chemometrics for processing near-infrared spectroscopy data
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2020 Graduate Huawei Cup Mathematical Modeling Competition Questions
Topic A: Chip phase noise algorithm
Topic B: Modeling Gasoline Octane Number
Topic C: Brain signal analysis and discriminant modeling for rehabilitation engineering
Topic D: Collaborative confrontation of drone clusters
Topic E: Visibility estimation and prediction
Topic F: Optimization of fuel supply strategy for aircraft centroid balance
