Title :
BP Neural Network Applying in NIR Spectrum Data Processing
Author :
Tang, Yujun ; Wang, Xia
Author_Institution :
Coll. of Electron. & Inf. Eng., He bei Univ., Baoding, China
Abstract :
In NIR (Near Infrared) spectrum analysis NIR spectrum data is complicated, so it is difficult to analysis the NIR spectrum data. Adopting the linear processing method the data deviation will influence the measuring result. But BP neural network applying in NIR spectrum detection can effectively avoid the data deviation influence. So the paper brings the method of applying BP neural networks in NIR spectrum measurement system, and designs the structure of BP neural network, and establishes correction model by BP neural network.
Keywords :
backpropagation; data analysis; infrared spectra; neural nets; petroleum; BP neural network; NIR spectrum data processing; linear processing method; near infrared spectrum analysis; Artificial neural networks; Petroleum; Smoothing methods; Spectral analysis; Spectrogram; Spectroscopy; Training; NIR spectrum; data processing; diesel oil; neural network;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-7869-9
DOI :
10.1109/IHMSC.2010.153