Cargando…
A Model Study on Raw Material Chemical Composition to Predict Sinter Quality Based on GA-RNN
The quality control process for sintered ore is cumbersome and time- and money-consuming. When the assay results come out and the ratios are found to be faulty, the ratios cannot be changed in time, which will produce sintered ore of substandard quality, resulting in a waste of resources and environ...
Autores principales: | Li, Yifan, Zhang, Qunwei, Zhu, Yi, Yang, Aimin, Liu, Weixing, Zhao, Xinfeng, Ren, Xinying, Feng, Shilong, Li, Zezheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019411/ https://www.ncbi.nlm.nih.gov/pubmed/35463237 http://dx.doi.org/10.1155/2022/3343427 |
Ejemplares similares
-
The Prediction of Sinter Drums Strength Using Hybrid Machine Learning Algorithms
por: Ren, Xinying, et al.
Publicado: (2022) -
Modeling human cancer-related regulatory modules by GA-RNN hybrid algorithms
por: Chiang, Jung-Hsien, et al.
Publicado: (2007) -
RNN for stop search in ATLAS
por: Arrubarrena Tame, Zulit Paola
Publicado: (2019) -
Sintering of nanocrystalline materials: Sintering parameters
por: Babalola, Bukola Joseph, et al.
Publicado: (2023) -
Study of a Waste Kaolin as Raw Material for Mullite Ceramics and Mullite Refractories by Reaction Sintering
por: Sánchez-Soto, Pedro José, et al.
Publicado: (2022)