Application of neural-network hybrid models in estimating the infection functions of nonlinear epidemic models

DOI10.1142/S1793524523500560zbMATH Open1540.92204MaRDI QIDQ6560742

Could not fetch data.

Publication date: 24 June 2024

Published in: International Journal of Biomathematics (Search for Journal in Brave)

zbMATH Keywords

neural networkdifferential equationsepidemic modelhybrid model

Mathematics Subject Classification ID

Epidemiology (92D30) Computational methods for problems pertaining to biology (92-08)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Multiple stable subharmonics for a periodic epidemic model
• A periodic epidemic model in a patchy environment
• Threshold dynamics for compartmental epidemic models in periodic environments
• Multilayer feedforward networks are universal approximators
• Dynamical behavior of an epidemic model with a nonlinear incidence rate
• Global analysis of an epidemic model with nonmonotone incidence rate
• The impact of media on the control of infectious diseases
• Periodicity in an epidemic model with a generalized non-linear incidence
• Methods for deriving necessary and sufficient conditions for backward bifurcation
• Regression and time series model selection in small samples
• Basic Reproduction Numbers for Reaction-Diffusion Epidemic Models
• A Stepwise AIC Method for Variable Selection in Linear Regression

This page was built for publication: Application of neural-network hybrid models in estimating the infection functions of nonlinear epidemic models

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6560742)