Assessment of kitchen emissions using a backpropagation neural network model based on urinary hydroxy polycyclic aromatic hydrocarbons

2020 ◽  
Vol 265 ◽  
pp. 114915
Author(s):  
Dong Gan ◽  
Daizheng Huang ◽  
Jie Yang ◽  
Li’e Zhang ◽  
Songfeng Ou ◽  
...  
Keyword(s):  
Neural Network ◽  
Polycyclic Aromatic Hydrocarbons ◽  
Network Model ◽  
Neural Network Model ◽  
Aromatic Hydrocarbons ◽  
Backpropagation Neural Network ◽  
Model Based ◽  
Polycyclic Aromatic

scholarly journals CONSTRUCTION OF NEURAL NETWORK MODEL FOR STUDYING OF CRYSTAL STRUCTURES PROPERTIES

2021 ◽  
Author(s):  
Olga Uvarova ◽  
Sergey Uvarov
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Total Energy ◽  
Crystal Structures ◽  
Network Model ◽  
Neural Network Model ◽  
Cohesive Energy ◽  
Computational Experiment ◽  
Model Based ◽  
Artificial Neural

The paper considers a mechanism for constructing a model based on artificial neural network for obtaining the values of the cohesive energy of a system of atoms. Cohesive energy allows for calculation of total energy of system. It is one of the most important characteristics of a structure. A computational experiment is carried out for one-component crystal structures of Si, Ge and C.

Detection of Polycyclic Aromatic Hydrocarbons Combining Fluorescence Analysis with ABC-BP Neural Network

2015 ◽  
Vol 42 (11) ◽  
pp. 1115001
Author(s):  
王书涛 Wang Shutao ◽  
陈东营 Chen Dongying ◽  
王兴龙 Wang Xinglong ◽  
韩欢欢 Han Huanhuan ◽  
王佳亮 Wang Jialiang
Keyword(s):  
Neural Network ◽  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Bp Neural Network ◽  
Fluorescence Analysis ◽  
Polycyclic Aromatic
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