Near infrared spectrum classification and identification method based on WGAN-GP model considering spectrum first-order differential constraint

• Main Authors: ZHAO PENG, LI ZHENYU
• Format: Patent
• Language: Chinese; English
• Published: 28.03.2025
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a near infrared spectrum classification and identification method based on a WGAN-GP model considering spectrum first-order differential constraint, and belongs to the technical field of near infrared spectrum classification and identification. According to the invention, based on a WGAN-GP model and a target loss function thereof, a spectrum first-order differential vector is added to obtain a WGAN-GP improved model considering spectrum first-order differential constraint and a target loss function thereof; a near infrared spectrum curve is generated through a WGAN-GP improved model considering spectrum first-order differential constraint, and classifier training set data enhancement is carried out after the near infrared spectrum curve is integrated into a generated spectrum data set; and setting a training set and a test set of the classifier, and outputting a near infrared spectrum classification recognition result by the classifier. According to the method, classifier training set