DocumentCode
2308241
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
Volume
4
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
1749
Lastpage
1753
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5584381
Filename
5584381
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