水资源与水工程学报

文章摘要

刘爱珍,司琦,李明昌.基于数据驱动神经网络模型的天津滨海区域综合承载力评价方法研究Journal of Water Resources and Water Engineering[J].,2012,23(4):83-85

基于数据驱动神经网络模型的天津滨海区域综合承载力评价方法研究

Study on the assessment method for regional comprehensive carrying capacity in Binhai District of Tianjin based on neural network model of data-driving

Received:February 28, 2012 Revised:March 21, 2012

DOI：10.11705/j.issn.1672-643X.2012.04.017

中文关键词: 区域综合承载力数据驱动神经网络承载力评价

英文关键词: region comprehension carrying capacity data-driving neural network assessment of carrying capacity

基金项目:大连理工大学海岸和近海工程国家重点实验室研究基金资助项目(LP1108)；天津市科技兴海项目(KJXH2011-17)；中央级公益性科研院所基本科研业务费专项资金项目(TKS090204、TKS100217、KJFZJJ2011-01)

Author Name	Affiliation
LIU Aizhen	1.Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute of Water Transport Engineering, Tanggu 300456, China [KH*3D]
SI Qi	1.Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute of Water Transport Engineering, Tanggu 300456, China [KH*3D]
LI Mingchang	1.Laboratory of Environmental Protection in Water Transport Engineering, Tianjin Research Institute of Water Transport Engineering, Tanggu 300456, China [KH*3D]

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中文摘要:

随着天津滨海区域开发建设的不断深入,开展区域综合承载能力及其动态变化的研究,对于提高区域综合管理水平,实现可持续发展具有重要意义。本文以数据驱动神经网络方法为基础,建立以承载力影响因子与承载力等级之间非线性关系为核心的滨海区域综合承载力评价模型,并以天津滨海区域综合承载力评价的对比研究检验模型有效性。

英文摘要:

With the deep development of construction in Tianjin Binhai District, study on the carrying capacity and its dynamic changes have important significahce for improving the regional comprehensive management level and realize sustainable development. Based on a data-driving neural network method, this paper established a comprehensive carrying capacity assessment model by the nonlinear relationship between impact factors and degree of carrying capacity for the kernel. The calibration results showed well in Tianjin Binhai district.

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