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There are some problems with the strip steel heated in the annealing furnace such as the multiple correlations between temperature in the annealing furnace, steel strip tension, tension roll speed and other variables, noise in field data, which lead to the difficulty to predict the time of welding seam achieved air-knife. The least square support vector machine (LSSVM) inductance model optimized by...
This paper focuses on regression applications of the Support Vector Machine (SVM) in the process industry. The support vector regression machines are employed to build soft sensing models in the paper. Soft sensor modeling, in a sense, is a kind of regression problems in industrial processes. First we review the development history of the Vapnik Chervonenkis (VC) theory and SVM. And then, the basic...
Establishing the common pattern of the traditional Chinese medicine fingerprint signal is an important problem for the evaluation in herbal medicine field. This study deals with the application of support vector machine regression combined with discrete wavelet transform in creating the common pattern of fingerprint signal. The original signal was first decomposed to different scales by discrete wavelet...
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