Comparative assessment of artificial neural network and response surface methodology for modeling and optimizing phosphate adsorption onto rice straw biochar.
- DOI
- 10.1016/j.jenvman.2026.130484
- Published
- 2026 Aug 1
- Container
- Journal of environmental management
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2026.130484,
title = {Comparative assessment of artificial neural network and response surface methodology for modeling and optimizing phosphate adsorption onto rice straw biochar.},
author = {Kumari S and Agarwal S and Chowdhry J and Sharma P and Kumar M and Kumar A and Nayak M and Chandra Garg M},
year = {2026},
journal = {Journal of environmental management},
doi = {10.1016/j.jenvman.2026.130484},
url = {https://doi.org/10.1016/j.jenvman.2026.130484}
}RIS
TY - JOUR TI - Comparative assessment of artificial neural network and response surface methodology for modeling and optimizing phosphate adsorption onto rice straw biochar. AU - Kumari S AU - Agarwal S AU - Chowdhry J AU - Sharma P AU - Kumar M AU - Kumar A AU - Nayak M AU - Chandra Garg M PY - 2026 JO - Journal of environmental management DO - 10.1016/j.jenvman.2026.130484 UR - https://doi.org/10.1016/j.jenvman.2026.130484 ER -
APA
S, K., S, A., J, C., P, S., M, K., A, K., M, N., & M, C. G. (2026). Comparative assessment of artificial neural network and response surface methodology for modeling and optimizing phosphate adsorption onto rice straw biochar.. Journal of environmental management. https://doi.org/10.1016/j.jenvman.2026.130484
Source records
- pubmed · retrieved 2026-09-25T23:43:11.255Z