Cargando…
General Model Based on Artificial Neural Networks for Estimating the Viscosities of Oxygenated Fuels
[Image: see text] Oxygenated fuel is a promising alternative fuel for engines because of the advantage of low emission. In this work, a general model based on back-propagation neural networks was developed for estimating the viscosities of different kinds of oxygenated fuels including esters, alcoho...
Autores principales: | Liu, Xiangyang, Yang, Feng, Chu, Jianchun, Zhu, Chenyang, He, Maogang, Zhang, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2019
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788068/ https://www.ncbi.nlm.nih.gov/pubmed/31616836 http://dx.doi.org/10.1021/acsomega.9b02337 |
Ejemplares similares
-
Transition State
Theory-Inspired Neural Network for
Estimating the Viscosity of Deep Eutectic Solvents
por: Yu, Liu-Ying, et al.
Publicado: (2022) -
Experiment and Artificial Neural Network Prediction of Thermal Conductivity and Viscosity for Alumina-Water Nanofluids
por: Zhao, Ningbo, et al.
Publicado: (2017) -
Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks
por: Hwang, Jaekyun, et al.
Publicado: (2020) -
Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks
por: Schmitt, Jonathan, et al.
Publicado: (2023) -
An artificial neural network for estimating haplotype frequencies
por: Cartier, Kevin C, et al.
Publicado: (2005)