Cargando…
Prediction Model of Rice Seedling Growth and Rhizosphere Fertility Based on the Improved Elman Neural Network
Rice developing prognostication is a key part of precise agricultural management, and its advancement is an intricate course of events involving the interplay of breed and environmental element. The traditional research method is based on data analysis of rice growth prediction modeling, mining the...
Autores principales: | Jiao, Feng, Chen, Yang, Zhang, Xinyue, Zhou, Yuyue, Wang, Linlin, Wu, Jinhua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357766/ https://www.ncbi.nlm.nih.gov/pubmed/35958786 http://dx.doi.org/10.1155/2022/2151682 |
Ejemplares similares
-
Retracted: Prediction Model of Rice Seedling Growth and Rhizosphere Fertility Based on the Improved Elman Neural Network
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Numerical Analysis of Modeling Based on Improved Elman Neural Network
por: Jie, Shao, et al.
Publicado: (2014) -
Improved GWO and its application in parameter optimization of Elman neural network
por: Liu, Wei, et al.
Publicado: (2023) -
Financial Time Series Prediction Using Elman Recurrent Random Neural Networks
por: Wang, Jie, et al.
Publicado: (2016) -
Design of optimal Elman Recurrent Neural Network based prediction approach for biofuel production
por: Kumar, N. Paramesh, et al.
Publicado: (2023)