Title :
New simulation method of ecosystem evolution based on Neural Network
Author :
Wang, Yi Jiao ; Feng, Qing Yi ; Wang, Hui ; Chai, Li He
Author_Institution :
Sch. of Environ. Sci. & Eng., Tianjin Univ., Tianjin, China
Abstract :
In this paper, the maximum flux principle (MFP) is proposed to describe complex interactions among agents in ecosystem which usually tend to generate intricate patterns under specific environmental constraints. Accordingly, we introduce a new simulation method based on Neural Network to reveal the dynamic mechanisms of ecosystem evolution. The new simulation method may provide important implications for ecological restoration and sustainable development.
Keywords :
ecology; neural nets; sustainable development; ecological restoration; ecosystem evolution; environmental constraints; maximum flux principle; neural network; simulation method; sustainable development; Artificial neural networks; Biological system modeling; Ecosystems; Equations; Fractals; Mathematical model; Structural engineering; Ecosystem; Evolution; Neural Network; maximum flux principle;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584381
