Improved Support Vector Regression Coupled with Fourier Self-Deconvolution in the Quantitative Analysis of Glucose in NIR Spectra.
Krishna Chaitanya PatchavaMohammed BenaissaHatim BehairySaleh AlShebeiliPublished in: IISA (2018)
Keyphrases
- quantitative analysis
- support vector regression
- qualitative analysis
- support vector
- regression model
- qualitative and quantitative analysis
- qualitative evaluation
- support vector machine svm
- kernel function
- fourier domain
- response surface methodology
- least squares
- support vector machine
- hybrid genetic
- support vector classification
- fourier transform
- extreme learning machine
- hybrid model
- hyperspectral images
- nonlinear regression
- forecasting accuracy
- image restoration
- artificial neural networks
- data sets
- wavelet frame
- singular spectrum analysis
- image reconstruction
- denoising
- learning algorithm