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