Dangerous chemical rapid detection method based on neural network architecture search

• Main Authors: LIU YINGLI, CHEN SHAOHUA, ZHANG XUESHENG, MOU TAOTAO
• Format: Patent
• Language: Chinese; English
• Published: 20.09.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention discloses a dangerous chemical rapid detection method based on neural network architecture search. The method comprises the following steps: step 1, acquiring spectral data of dangerous chemicals; step 2, network design of a neural network architecture search method based on AutoKeras;...