Cargando…
Risk assessment of earthquake network public opinion based on global search BP neural network
BACKGROUND: The article proposes a network public opinion risk assessment model for earthquake disasters, which can provide an effective support for emergency departments of China. METHOD: It uses the accelerated genetic algorithm (AGA) to improve BP neural network. The main contents: This article s...
Autores principales: | Huang, Xing, Jin, Huidong, Zhang, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6405059/ https://www.ncbi.nlm.nih.gov/pubmed/30845195 http://dx.doi.org/10.1371/journal.pone.0212839 |
Ejemplares similares
-
Effectiveness Assessment of College Ideological and Political Courses Using BP Neural Networks in Network Environment
por: Huang, Chudiao, et al.
Publicado: (2022) -
Application of improved ELM algorithm in the prediction of earthquake casualties
por: Huang, Xing, et al.
Publicado: (2020) -
The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network
por: Huang, Li, et al.
Publicado: (2018) -
Convolutional neural network for earthquake detection and location
por: Perol, Thibaut, et al.
Publicado: (2018) -
Identifying Network Public Opinion Leaders Based on Markov Logic Networks
por: Zhang, Weizhe, et al.
Publicado: (2014)