NDLI: Artificial neural network analysis for the eco-economic system of Ningbo City

Content Provider	IEEE Xplore Digital Library
Author	Wei Zhao Baoqiang Qu Meirong Guo
Copyright Year	2010
Description	Author affiliation: Center for Resource Sharing & Promotion, Institute of Scientific & Technical Information of China, Beijing, China (Wei Zhao; Baoqiang Qu; Meirong Guo)
Abstract	Urban eco-economic system (UEES) is a multi-phase and non-linear complex system, and it is difficult to predict its behavior. Based on the concept of circular economy for eco-city construction, by using the artificial neural network (ANN) analysis method, this study predicted the scale and trend of urban eco-economic development of Ningbo City. In the analysis, 10 indicators including industrial output value and the proportion of tertiary industry were selected as the input layer and economic scale was used as the output layer to construct the ANN for the eco-economic development of Ningbo City. The network was trained by the actual elemental values of Ningbo City from 1999 to 2007. According to the network testing and operation results, suggestions on Ningbo eco-economic system development were presented.
Starting Page	1582
Ending Page	1585
File Size	241367
Page Count	4
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5583751
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	artificial neural network (ANN) Economic indicators Biological system modeling Ningbo City Artificial neural networks Cities and towns Construction industry eco-economic system
Content Type	Text
Resource Type	Article

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