• May 15, 2019 News!Vol.7, No.5- Vol.8, No.4 has been indexed by EI (Inspec).   [Click]
  • Aug 01, 2018 News! [CFP] 2020 the annual meeting of IJMO Editorial Board, ECDMO 2020, will be held in Athens, Greece, February 15-17, 2020.   [Click]
  • Jun 19, 2019 News!Vol 9, No 3 has been published with online version 10 original aritcles from 5 countries are published in this issue    [Click]
General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014 Vol.4(6): 450-454 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.416

Applying a BP Neural Network Approach to the Evolution Stage Classification of China Rift Lakes

T. Zhang, W. H. Zeng, and F. L. Yang
Abstract—The evolution stage classification which contains adolescence, adulthood, and old age of China rift lakes was constructed by using BP neural network model. In this paper, the model was applied to eleven lakes from Yunnan Plateau Lakes region and the middle and lower reaches of the Yangtze River plain. Through the selection of training samples, test samples and optimal number of hidden layer nodes to determine, the precision of BP neural network classification is supposed suitable for evolution stage classification of rift lakes. According to the classification results, dianchi lake is an old age lake, erhai lake, chenghai lake, xingyun lake, yilong lake, qilu lake, yangzong lake and chaohu lake are all in adulthood, and fuxian lake, lugu lake and poyang lake are in adolescence.

Index Terms—Evolution stage classification, rift lakes, BP neural network.

T. Zhang and W. H. Zeng are with State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China (e-mail: zhangting08@ieecas.cn; zengwh@bnu.edu.cn).
F. L. Yang is with Yunnan Institute of Environmental Science, Kunming, China (e-mail: yfl@yies.org.cn).


Cite: T. Zhang, W. H. Zeng, and F. L. Yang, "Applying a BP Neural Network Approach to the Evolution Stage Classification of China Rift Lakes," International Journal of Modeling and Optimization vol. 4, no. 6, pp. 450-454, 2014.

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