Development of Prediction Models for the Self-Accelerating Decomposition Temperature of Organic Peroxides | Zendy

Toshiharu Morishita | Zendy; Hiromasa Kaneko | Zendy

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Development of Prediction Models for the Self-Accelerating Decomposition Temperature of Organic Peroxides

Author(s) -

Toshiharu Morishita,

Hiromasa Kaneko

Publication year - 2022

Publication title -

acs omega

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.779

H-Index - 40

ISSN - 2470-1343

DOI - 10.1021/acsomega.1c06481

Subject(s) - partial least squares regression , decomposition , mean squared error , root mean square , feature selection , mean absolute error , thermal decomposition , regression , regression analysis , predictive modelling , biological system , variable (mathematics) , quantitative structure–activity relationship , mathematics , mean squared prediction error , selection (genetic algorithm) , chemistry , statistics , computer science , artificial intelligence , engineering , organic chemistry , stereochemistry , mathematical analysis , biology , electrical engineering

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