DocumentCode :
2333574
Title :
The research of artificial neural network as a tool of adjustment prediction in eco-city construction
Author :
Tian, Jin-Xin ; Jin-Xin Tun
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., China
Volume :
6
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
3416
Abstract :
The eco-city is a multi-goals, multi-functional, integrated system with complicated structure, which can be lively imitated by artificial neural network (ANN). The paper researches the evaluation indices prediction of eco-city development by the artificial neural network´s BP model. Through data collection, neural network model design, programming and training, the prediction can be obtained and analysis is made. The results indicate a usefulness of neural network technology for non-mechanistic modeling in ecological research and management.
Keywords :
backpropagation; ecology; environmental science computing; neural nets; artificial neural network; eco-city construction; ecology management; neural network model design; Artificial neural networks; Biological neural networks; Biological system modeling; Feedforward neural networks; Feedforward systems; Intelligent networks; Multi-layer neural network; Neural networks; Neurons; Predictive models; Artificial neural network; eco-city construction; prediction model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527532
Filename :
1527532
Link To Document :
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