Prediction Model of Rice Seedling Growth and Rhizosphere Fertility Based on the Improved Elman Neural Network

Feng Jiao, Yang Chen, Xinyue Zhang, Yuyue Zhou, Linlin Wang, Jinhua Wu

DOI: 10.1155/2022/2151682
Published: 2022-07-31
Container: Computational Intelligence and Neuroscience
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/2151682,
  title = {Prediction Model of Rice Seedling Growth and Rhizosphere Fertility Based on the Improved Elman Neural Network},
  author = {Feng Jiao and Yang Chen and Xinyue Zhang and Yuyue Zhou and Linlin Wang and Jinhua Wu},
  year = {2022},
  journal = {Computational Intelligence and Neuroscience},
  doi = {10.1155/2022/2151682},
  url = {https://doi.org/10.1155/2022/2151682}
}

RIS

TY  - JOUR
TI  - Prediction Model of Rice Seedling Growth and Rhizosphere Fertility Based on the Improved Elman Neural Network
AU  - Feng Jiao
AU  - Yang Chen
AU  - Xinyue Zhang
AU  - Yuyue Zhou
AU  - Linlin Wang
AU  - Jinhua Wu
PY  - 2022
JO  - Computational Intelligence and Neuroscience
DO  - 10.1155/2022/2151682
UR  - https://doi.org/10.1155/2022/2151682
ER  -

APA

Jiao, F., Chen, Y., Zhang, X., Zhou, Y., Wang, L., & Wu, J. (2022). Prediction Model of Rice Seedling Growth and Rhizosphere Fertility Based on the Improved Elman Neural Network. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/2151682

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crossref · retrieved 2026-09-24T22:58:40.233Z