Investigation of health assessment for urban lakes system based on probabilistic neural networks (PNN)

Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae

Volumn 33, Issue 11, 2013, Pages 3166-3172

  Xiao, Tao ^a   Yuan, Xingzhong ^a   Tang, Qinghua ^b   Gao, Qiang ^b   Pang, Zhiyan ^b   Zhu, Huina ^a,c   Bi, Wenkai ^a   Lin, Tongyun ^a   Liang, Jie ^a   Jiang, Hongwei ^a   Zeng, Guangming ^a  

^a HUNAN UNIVERSITY   (China)

^b Guangzhou Water Research Institute   (China)

^c HENAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Health assessment; Lake ecosystem; Probabilistic neural networks

Indexed keywords

ANNUAL VARIATION; ARTIFICIAL NEURAL NETWORK; ECOSYSTEM HEALTH; ENVIRONMENTAL MONITORING; LAKE ECOSYSTEM; LAKE WATER; PURIFICATION; URBAN AREA;

CHINA; GUANGDONG; GUANGZHOU;

EID: 84890321754     PISSN: 02532468     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. 2012, 32(8): 1984-1990
2. 2005, 19-23
3. Chen Y Q. 1993. Experiment on fault location in large-scale analog circuits[J]. IEEE Trans Instrumentation and Measurement, 42: 30-34
4. 2009, 24(4): 737-742
5. 2009, 18(3): 241-247
6. 2006, 18-25
7. Jorgensen S E, Nielsen S N. 2007. Application of exergy as thermodynamic indicator in ecology[J]. Energy, 32: 673-685
8. Karthikeyan B, Gopal S, Venkatesh S. 2008. Partial discharge pattern classification using composite versions of probabilistic neural network inference engine[J]. Expert Systems with Applications, 34(3): 1938-1947
9. 2008, 14-22
10. Lu Z J, Pei H P, Wang Y. 2008. Preliminary exploration of ecosystem health assessment for Lake West[J]. Lake Sciences, 20: 802-805
11. Ludovisi A, Poletti A. 2003. Use of thermodynamic indices as ecological indicators of the development state of lake ecosystems[J]. Ecological Modelling, 159(2/3): 203-238
12. Rapport D J. 2000. Ecological footprints and ecosystem health: complementary approaches to a sustainable future[J]. Ecological Economics, 32: 367-370
13. Rutkowski L. 2004. Adaptive probabilistic neural networks for pattern classification in time-varying environment[J]. IEEE Trans on Neural Network, 15(4): 811-827
14. Venkatesh S, Gopal S. 2011. Robust Heteroscedastic Probabilistic Neural Network for multiple source partial discharge pattern recognition-Significance of outliers on classification capability[J]. Expert Systems with Applications, 38(9): 11501-11514
15. Simon H. 2006. Neural Networks and Learning Machines[M]. Englewood Cliff: Prentice Hall Books. 1-22
16. Spatharis S, Roelke D L, Dimitrakopoulos P G, et al. 2011. Analyzing the (mis)behavior of Shannon index in eutrophication studies using field and simulated phytoplankton assemblages[J]. Ecological Indicators, 11: 697-703
17. Specht D F. 1990. Probability Neural Networks[J]. Neural Networks. 3(1): 109-118
18. Yu S N, Chen Y H. 2007. Electrocardiogram beat classification based on wavelet transformation and probabilistic neural network[J]. Pattern Recognition Letters, 28(10): 1142-1150
19. Xu F, Yang Z F, Chen B, et al. 2011. Ecosystem health assessment of the plant-dominated Baiyangdian Lake based on eco-exergy[J]. Ecological Modelling, 222: 201-209
20. 2005, 25(11): 3019-3027
21. 2005, 14-18
22. 2002.
23. 2011.
24. 2011.
25. 2008, 34-38