Soft measurement strategy based on improved GWO-SVM

The invention discloses a soft measurement strategy based on an improved GWO-SVM (Gaussian Wavelet Optimization-Support Vector Machine). Since German successfully realizes the industrial production of decaffeinated coffee beans in seventy years of the last century, fine separation technologies such...

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Bibliographic Details
Main Authors CHANG HUAPENG, LI HUI, ZHAO QILIANG, QIN WEI, CONG SHUOFENG, YE WEIKANG, LI YING, LUO WANBO, WANG ZHENGTONG, LUO MINGYUE
Format Patent
LanguageChinese
English
Published 13.05.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:The invention discloses a soft measurement strategy based on an improved GWO-SVM (Gaussian Wavelet Optimization-Support Vector Machine). Since German successfully realizes the industrial production of decaffeinated coffee beans in seventy years of the last century, fine separation technologies such as extraction, distillation, membrane separation and the like are widely applied due to the characteristics of environmental protection, high efficiency and energy conservation; however, at present, parameters in a molecular distillation system cannot be directly measured, parameter measurement lags for a long time, and quality parameters are difficult to monitor in real time. The method takes wiped-film molecular distillation equipment to extract effective components of traditional Chinese medicinal materials as an example, a support vector machine (SVM) is adopted to establish a soft measurement model of a wiped-film molecular distillation system, a penalty coefficient c and a kernel function coefficient g of the
Bibliography:Application Number: CN202011261885