Comparative study of quadratic regression, Lasso, random forest, and multilayer perceptron for modeling optimal solid density in offset printing.

Qiu B, Li L, Liu X, Sheng X, Jiang Y, Liu X, Ling YL

DOI: 10.1371/journal.pone.0361203
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0361203,
  title = {Comparative study of quadratic regression, Lasso, random forest, and multilayer perceptron for modeling optimal solid density in offset printing.},
  author = {Qiu B and Li L and Liu X and Sheng X and Jiang Y and Liu X and Ling YL},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0361203},
  url = {https://doi.org/10.1371/journal.pone.0361203}
}

RIS

TY  - JOUR
TI  - Comparative study of quadratic regression, Lasso, random forest, and multilayer perceptron for modeling optimal solid density in offset printing.
AU  - Qiu B
AU  - Li L
AU  - Liu X
AU  - Sheng X
AU  - Jiang Y
AU  - Liu X
AU  - Ling YL
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0361203
UR  - https://doi.org/10.1371/journal.pone.0361203
ER  -

APA

B, Q., L, L., X, L., X, S., Y, J., X, L., & YL, L. (2026). Comparative study of quadratic regression, Lasso, random forest, and multilayer perceptron for modeling optimal solid density in offset printing.. PloS one. https://doi.org/10.1371/journal.pone.0361203

Source records

pubmed · retrieved 2026-11-10T10:42:05.435Z