GPR (gaussian process regression) online soft measurement method with model updating
A technology of model update and soft measurement, which is applied in character and pattern recognition, instruments, computer components, etc., can solve problems that cannot be solved by offline models, and achieve the effect of improving production efficiency
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[0018] Combine below figure 1 As shown, the present invention is further detailed:
[0019] This paper verifies that the method proposed in this paper has higher prediction accuracy through an actual industrial wastewater treatment process simulation.
[0020] Step 1: Collect the input and output data of the sewage treatment process to form a soft sensor modeling database.
[0021] Step 2: Standardize the training samples, and use PCA principal component analysis to obtain the score matrix. The PCA algorithm is:
[0022] If there is a training data set X={x i |x i ∈R m } i=1...n , M is the dimension of the process variable, n is the number of training data. In general, the dimensionality of the sample and the correlation of variables will greatly affect the speed and quality of modeling, while PCA (Principal component analysis) can reduce the dimensionality of high-dimensional data through singular value decomposition. At the same time reduce the correlation between variables. The...
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