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Appl. Sci. 2016, 6(6), 175;

Network Modeling and Assessment of Ecosystem Health by a Multi-Population Swarm Optimized Neural Network Ensemble

College of Electronics, Communication and Physics, Shandong University of Science and Technology, Qingdao 266590, China
School of Control Science and Engineering, Shandong University, Jinan 250061, China
Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384, China
Author to whom correspondence should be addressed.
Academic Editor: Christian Dawson
Received: 29 March 2016 / Revised: 23 May 2016 / Accepted: 2 June 2016 / Published: 15 June 2016
(This article belongs to the Special Issue Applied Artificial Neural Network)
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Society is more and more interested in developing mathematical models to assess and forecast the environmental and biological health conditions of our planet. However, most existing models cannot determine the long-range impacts of potential policies without considering the complex global factors and their cross effects in biological systems. In this paper, the Markov property and Neural Network Ensemble (NNE) are utilized to construct an estimated matrix that combines the interaction of the different local factors. With such an estimation matrix, we could obtain estimated variables that could reflect the global influence. The ensemble weights are trained by multiple population algorithms. Our prediction could fit the real trend of the two predicted measures, namely Morbidity Rate and Gross Domestic Product (GDP). It could be an effective method of reflecting the relationship between input factors and predicted measures of the health of ecosystems. The method can perform a sensitivity analysis, which could help determine the critical factors that could be adjusted to move the ecosystem in a sustainable direction. View Full-Text
Keywords: ecosystem assessment; neural network ensemble; Markov analysis ecosystem assessment; neural network ensemble; Markov analysis

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Shan, R.; Zhao, Z.-S.; Chen, P.-F.; Liu, W.-J.; Xiao, S.-Y.; Hou, Y.-H.; Cao, M.-Y.; Chang, F.-L.; Wang, Z. Network Modeling and Assessment of Ecosystem Health by a Multi-Population Swarm Optimized Neural Network Ensemble. Appl. Sci. 2016, 6, 175.

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