首页|Studies from Shandong Normal University Provide New Data on Machine Learning (En hanced prediction of cement raw meal oxides by near-infrared spectroscopy using machine learning combined with chemometric techniques)
Studies from Shandong Normal University Provide New Data on Machine Learning (En hanced prediction of cement raw meal oxides by near-infrared spectroscopy using machine learning combined with chemometric techniques)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting from Jinan, People's Republic of C hina, by NewsRx journalists, research stated, "The component analysis of raw mea l is critical to the quality of cement." The news correspondents obtained a quote from the research from Shandong Normal University: "In recent years, near-infrared (NIR) has been emerged as an innovat ive and efficient analytical method to determine the oxide content of cement raw meal. This study aims to utilize NIR spectroscopy combined with machine learnin g and chemometrics to improve the prediction of oxide content in cement raw meal . The Savitzky-Golay convolution smoothing method is applied to eliminate noise interference for the analysis of calcium carbonate (CaCO3), silicon dioxide (SiO 2), aluminum oxide (Al2O3), and ferric oxide (Fe2O3) in cement raw materials. Di fferent wavelength selection techniques are used to perform a comprehensive anal ysis of the model, comparing the performance of several wavelength selection tec hniques. The back-propagation neural network regression model based on particle swarm optimization algorithm was also applied to optimize the extracted and scre ened feature wavelengths, and the model prediction performance was checked and e valuated using Rp and RMSE. In conclusion, the results indicate that NIR spectro scopy in combination with ML and chemometrics has great potential to effectively improve the prediction performance of oxide content in raw materials and highli ght the importance of modeling and wavelength selection techniques."
Shandong Normal UniversityJinanPeopl e's Republic of ChinaAsiaChemometricCyborgsEmerging TechnologiesMachin e Learning
NETL
NSTL
