New simulation method of ecosystem evolution based on Neural Network

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 d...

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Bibliographic Details
Published in2010 Sixth International Conference on Natural Computation Vol. 4; pp. 1749 - 1753
Main Authors Yi Jiao Wang, Qing Yi Feng, Hui Wang, Li He Chai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Artificial neural networks
Biological system modeling
Ecosystem
Ecosystems
Equations
Evolution
Fractals
Mathematical model
maximum flux principle
Neural Network
Structural engineering
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Summary: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.
ISBN:1424459583
9781424459582
ISSN:2157-9555
DOI:10.1109/ICNC.2010.5584381