Artificial neural network and its application in near infrared spectroscopy are presented in brief. The basic structure of the BP network and its corresponding BP algorithm are given. The obvious superiority of the artificial neural network BP algorithm is shown through the determination of the fluidity of lubricating-oil and the recovery and RSD of benzene and methylbenzene. Finally, several existing problems are indicated.