Cargando…
Developing a Novel Parameter Estimation Method for Agent-Based Model in Immune System Simulation under the Framework of History Matching: A Case Study on Influenza A Virus Infection
Since they can provide a natural and flexible description of nonlinear dynamic behavior of complex system, Agent-based models (ABM) have been commonly used for immune system simulation. However, it is crucial for ABM to obtain an appropriate estimation for the key parameters of the model by incorpor...
Autores principales: | Li, Tingting, Cheng, Zhengguo, Zhang, Le |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751195/ https://www.ncbi.nlm.nih.gov/pubmed/29194393 http://dx.doi.org/10.3390/ijms18122592 |
Ejemplares similares
-
Development of an Agent-Based Model (ABM) to Simulate the Immune System and Integration of a Regression Method to Estimate the Key ABM Parameters by Fitting the Experimental Data
por: Tong, Xuming, et al.
Publicado: (2015) -
Correction: Development of an Agent-Based Model (ABM) to Simulate the Immune System and Integration of a Regression Method to Estimate the Key ABM Parameters by Fitting the Experimental Data
por: Tong, Xuming, et al.
Publicado: (2016) -
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
por: Srinivasan, Shriram, et al.
Publicado: (2021) -
A Bayesian Framework for Parameter Estimation in Dynamical Models
por: Coelho, Flávio Codeço, et al.
Publicado: (2011) -
A unified framework for estimating parameters of kinetic biological models
por: Baker, Syed Murtuza, et al.
Publicado: (2015)