A nonlinear sparse neural ordinary differential equation model for multiple functional processes

2021 ◽  
Author(s):  
Yijia Liu ◽  
Lexin Li ◽  
Xiao Wang
Keyword(s):  
Differential Equation ◽  
Ordinary Differential Equation ◽  
Equation Model ◽  
Ordinary Differential Equation Model ◽  
Differential Equation Model

Estimation of delays in generalized asynchronous Boolean networks

2016 ◽  
Vol 12 (10) ◽  
pp. 3098-3110 ◽  
Author(s):  
Haimabati Das ◽  
Ritwik Kumar Layek
Keyword(s):  
Differential Equation ◽  
Ordinary Differential Equation ◽  
Network Model ◽  
Boolean Network ◽  
Equation Model ◽  
Boolean Networks ◽  
Temporal Behavior ◽  
Ordinary Differential Equation Model ◽  
Differential Equation Model ◽  
Boolean Network Model

The generalized asynchronous Boolean network model proposed in this paper can reliably mimic the temporal behavior of the Ordinary Differential Equation model without compromising the flexibility of the Boolean network model.

An Ordinary Differential Equation Model of Succession of Korean Pine Broadleaf Forest

1997 ◽  
Vol 05 (03) ◽  
pp. 375-388
Author(s):  
Jiagang Liu ◽  
K. W. Chung ◽  
H. S. Y. Chan
Keyword(s):  
Differential Equation ◽  
Ordinary Differential Equation ◽  
Secondary Succession ◽  
Equation Model ◽  
Korean Pine ◽  
Counting Method ◽  
Ordinary Differential Equation Model ◽  
Differential Equation Model ◽  
Broadleaf Forest ◽  
Succession Process

An ordinary differential equation model for secondary succession of Korean pine broadleaf forest is presented. Monte Carlo models to simulate processes of tree death and seed sprouting are designed. Localization of the models and an ensemble counting method are suggested. Then the succession process of Korean pine broadleaf forest from disturbances, age structure and dynamic in the climax stage of the forest are described.

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