NDLI: The Environmental Quality Evaluation Based on BP Neural Network and PSO and Case Study

Content Provider	IEEE Xplore Digital Library
Author	Xiaoguo Zhou Wenzhong Zhang Wei Yuan Qingchao Liu
Copyright Year	2008
Description	Author affiliation: Sch. of Archit. & Ocean Eng., Jiangsu Uiversity of Sci. & Technol., Zhenjiang (Xiaoguo Zhou) \|\| Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding (Qingchao Liu) \|\| Sch. of Electron. & Inf., Jiangsu Uiversity of Sci. & Technol., Zhenjiang (Wei Yuan) \|\| BaoDing HuaDian Electr. Power Design & Res., Inst. Co.Ltd., Baoding (Wenzhong Zhang)
Abstract	Using particle swarm optimization (PSO) to optimize BP neural network model is proposed in this paper. The new model is more quickly and accurate. The basic idea of this model is: Firstly PSO is used to optimize the BP neural network's initialized weights, an optimized result is got; then based on the optimized result the BP neural network is used for further optimization. We can use this model for the environmental quality evaluation of Qinhuangdao Port regional. Finally we can get exactly appraise, this can be direct the environmental protection.
Starting Page	32
Ending Page	35
File Size	247707
Page Count	4
File Format	PDF
ISBN	9780769535050
DOI	10.1109/IITA.Workshops.2008.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Marine technology Neurons Artificial neural networks Feedforward neural networks environmental quality evaluation Environmental economics Particle swarm optimization PSO Intelligent networks BP neural network Neural networks Cities and towns Monitoring
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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