SEINN: A deep learning algorithm for the stochastic epidemic model

SEINN: A deep learning algorithm for the stochastic epidemic model

Stochastic modeling predicts various outcomes from stochasticity in the data, parameters and dynamical system. Stochastic models are deemed more appropriate than deterministic models accounting in terms of essential and practical information about a system. The objective of the current investigation...

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Bibliographic Details
Main Authors: Thomas Torku, Abdul Khaliq, Fathalla Rihan
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
deep learning
data-driven
stochastic differential equation
regularization
stochastic epidemiology informed neural network
computational analysis
nonlinear incidence rate
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023729?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023729?viewType=HTML

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