Application of Wavelet Packet Transform-Radial Basis Function Neural Network in NIR Spectroscopy for Non-destructive Determination of Tricholoma Matsutake

2009 ◽  
Author(s):  
Jia-hui Lu ◽  
Yi-bo Zhang ◽  
Qing-fan Meng ◽  
Qiu-hong Xie ◽  
Li-rong Teng
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Wavelet Packet ◽  
Nir Spectroscopy ◽  
Wavelet Packet Transform ◽  
Tricholoma Matsutake ◽  
Radial Basis ◽  
Non Destructive

Evaluation of a radial basis function neural network for the determination of wheat quality from electronic nose data

2000 ◽  
Vol 69 (3) ◽  
pp. 348-358 ◽  
Author(s):  
Phillip Evans ◽  
Krishna C Persaud ◽  
Alexander S McNeish ◽  
Robert W Sneath ◽  
Norris Hobson ◽  
...  
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Electronic Nose ◽  
Basis Function ◽  
Wheat Quality ◽  
Radial Basis

Three Modeling Methods Application in Near-Infrared Spectra Analysis for Determination of Volatile in Lignite Coal Samples

2014 ◽  
Vol 541-542 ◽  
pp. 1438-1441
Author(s):  
Xiao Li Yang ◽  
Fan Wang
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Near Infrared ◽  
Partial Least Square ◽  
Support Vector ◽  
Discrete Wavelet ◽  
Radial Basis ◽  
Lignite Coal

We studied volatile determination in lignite coal samples using near-infrared (NIR) spectra. Firstly, spectra were pre-processed to eliminate useless information. Then, determination model was constructed by partial least squares regression. We used discrete wavelet transform to pre-processing. To study the influence of modeling on determination of volatile for NIR analysis of lignite coal samples, we applied three techniques to build determination model, including support vector regression, partial least square regression and radial basis function neural network. Comparison of the mean absolute percentage error (MAPE) and root mean square error of prediction (RMSEP) of the models show that the models constructed with radial basis function neural network gave the best results.

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