soft-sensing

基本解釋

In view of lots of unmeasured variables in industrial process,a soft sensing method using lazy learning is presented.
針對工業(yè)過程中存在許多難以直接測量變量的問題,提出1種基于即時(shí)學(xué)習(xí)算法的軟測量建模方法。
By this genetic algorithm, the parameters of Elman RNN in the soft sensing model is obtained.
利用該遺傳算法完成裂解深度軟測量建模過程中的Elman型回歸神經(jīng)網(wǎng)絡(luò)參數(shù)學(xué)習(xí)。
This paper has studied soft sensing technique of an important quality criterion which is difficult to measure in the Asphaltum production.
針對瀝青生產(chǎn)過程中的重要質(zhì)量指標(biāo)難以測量問題進(jìn)行研究.
At present much more researches are concerned about the MISO system than MIMO system in the field of soft sensing modeling.
目前在軟測量建模中，大多研究的是MISO的情況，而對于MIMO軟測量建模問題則研究得較少。
DSVM is applied in soft sensing for ratio of soda to alumina (RSA) in the process of (high-pressure) digestion of alumina. Simulation result shows that the method possesses high precision and can meet actual demands.
最后將DSVM應(yīng)用于氧化鋁高壓溶出過程苛性比值的軟測量;現(xiàn)場數(shù)據(jù)的仿真結(jié)果表明該方法具有較高的精度;能滿足實(shí)際生產(chǎn)的需要.