Graphene Foam Chemical Sensor System Based on Principal Component Analysis and Backpropagation Neural Network

• Published in: Advances in condensed matter physics Vol. 2018; no. 2018; pp. 1 - 8
• Main Authors: Yue, Weiwei, Zhang, Zhen, Tang, Caiyan, Qin, Ge, Sun, Jinjin, Xie, Xiaohui, Hua, Hongling, Ding, Zhaoqiang
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Acetone; Artificial neural networks; Back propagation; Carbon; Chemical sensors; Chemical vapor deposition; Chloroform; Discrimination; Fourier transforms; Glass substrates; Graphene; Microscopy; Nanoparticles; Neural networks; Pattern recognition; Principal components analysis; Propagation; Real time; Sensors; Silver; China

A kind of graphene foam chemical sensor (GFCS) system based on the principal component analysis (PCA) and backpropagation neural network (BPNN) was presented in this paper. Compared with conventional chemical sensors, the GFCS could discriminate various chemical molecules with selectivity without su...