Research and Application of Quality Detection Method for Corn Oil Based on Neural Network Algorithm

摘要

The nutritious value of corn oil is gradually recognized by the public, while with the expansion of its production, how to detect its quality has become a tough problem. The research performs data analysis on the infrared spectrum of corn oil to inspect the quality of corn oil by adopting neural network algorithm. Experiments have proved that the method can test the quality of corn oil effectively and compared with other ways, it is qualified with the advantages of high efficiency and accuracy, so it is worthy to be promoted and used.