法改进的BP神经网络的分类识别准确率更高，达到99.852%，用于实际样品的识别，识别准确率达到100%。实验结果可为植物油的无损快速检验提供一定的参考与借鉴。 In order to realize the fast identification of vegetable oil, attenuated total reflecti
learning algorithm were used to carry out spectral pattern recognition of vegetable oil. The spectral data of 8 kinds of vegetable oil samples were obtained in the experiment. The standard normal variate and the first derivative preprocessing method were used to eliminate the background interference.
原文链接：https://doaj.org/article/644423c6a0cf414189f58aef406d94f0