Artificial neural network-genetic algorithm-based optimization of aerobic composting process parameters of Ganoderma lucidum residue.
- DOI
- 10.1016/j.biortech.2022.127248
- Published
- 2022-04-29
- Container
- Bioresour Technol
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.biortech.2022.127248,
title = {Artificial neural network-genetic algorithm-based optimization of aerobic composting process parameters of Ganoderma lucidum residue.},
author = {Shi CF and Yang HT and Chen TT and Guo LP and Leng XY and Deng PB and Bi J and Pan JG and Wang YM.},
year = {2022},
journal = {Bioresour Technol},
doi = {10.1016/j.biortech.2022.127248},
url = {https://doi.org/10.1016/j.biortech.2022.127248}
}RIS
TY - JOUR TI - Artificial neural network-genetic algorithm-based optimization of aerobic composting process parameters of Ganoderma lucidum residue. AU - Shi CF AU - Yang HT AU - Chen TT AU - Guo LP AU - Leng XY AU - Deng PB AU - Bi J AU - Pan JG AU - Wang YM. PY - 2022 JO - Bioresour Technol DO - 10.1016/j.biortech.2022.127248 UR - https://doi.org/10.1016/j.biortech.2022.127248 ER -
APA
CF, S., HT, Y., TT, C., LP, G., XY, L., PB, D., J, B., JG, P., & YM., W. (2022). Artificial neural network-genetic algorithm-based optimization of aerobic composting process parameters of Ganoderma lucidum residue.. Bioresour Technol. https://doi.org/10.1016/j.biortech.2022.127248
Source records
- europe-pmc · retrieved 2026-09-25T21:42:20.142Z