Data Control Method for Printing Quality Based on Polynomial Regression

Ge, Jinghuan; Fang, Enyin; Tian, Dongwen

doi:10.1007/978-981-15-1864-5_47

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“…Snaebjornsson et al [6] even told us that by altering lipid metabolism, one may even develop a possible therapeutic window for cancer treatment. Thus, with reference to my paper in causal (regression) analysis as shown in Shun, [7] one may deduce the following causality domino effects for the possible cancer formation mechanism: Virus infection→DNA methylation→transcription occurs→lipidomics→metabolic problem→cancer formation Then with the suitable bioinformatics cancer data, one may follow the procedure as stated in my previous mentioned paper to establish the wanted Hayes Process model [8] (or the A.I. model) for such type of virus leading cancer formation mechanism.…”

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2021

AJMS

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Cancer has a long time history in our human health experience. Practically, one-fifth of the disease was caused by virus infection. Thus, it is important for us to understand the virus-cancer infection mechanism. Statistically, we may perform the necessary causality regression analysis in such situation to build up the corresponding model just like my previous case in influenza-weather infection. In the present research, I will interaction the systems of differential equations (Lorenz System) with my HKLam theory and figure out the recursive result that we may get. Then, we may go ahead for the corresponding policy generated from the dynamic programming that can solve the Markov decision process. In addition, we may apply the HKLam theory to the chaotic time series and compare the model with machine learning one for a better selection with failure explanation. Finally, I will also discuss a novel mathematical method in determining the saddle point in Lorenz attractor together with the gradient descent. The aim is to find the equilibrium for the Lorenz attractor with given initial conditions. It is hope that the mathematicsstatistics interaction together with the causal regression (artificial intelligence) model may finally help us fight against those diseases such as virus-infected cancer or others.

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Section: Literature Reviewmentioning

confidence: 99%

Untitled

2021

AJMS

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Data Control Method for Printing Quality Based on Polynomial Regression

Cited by 1 publication

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