DocumentCode :
3350371
Title :
Evaluation on eco-agriculture tourism environmental quality based on neural networks
Author :
Yunxia, Shi
Author_Institution :
Sch. of Bus. Manage., Shandong Inst. of Bus. & Technol., Yantai, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
4190
Lastpage :
4192
Abstract :
Tourism environment is the base of the development of tourism industry. The evaluation on the environment quality of tourism destination can maintain and promote the quality of the eco-environment of the tourism destination. In this paper, the evaluation system of eco-agriculture tourism is set up and Neural Networks Method is used for the environmental quality assessment of eco-agriculture tourism The network was chosen as membership function and the standard weighting method was adopted to calculate the weight actor to eliminate the effects of measured concentration It shows that making use of the BP nerve network of method to evaluate touring environmental quality was a scientific and valid method.
Keywords :
agriculture; backpropagation; environmental factors; neural nets; quality management; travel industry; BP nerve network; ecoagriculture tourism environmental quality; environmental quality assessment; evaluation system; neural networks; standard weighting method; tourism destination; tourism industry; Biological system modeling; Economic indicators; Environmental management; Measurement standards; Neural networks; Pollution measurement; Quality assessment; Quality management; Sun; Technology management; BP nerve network; Eco-agriculture tourism; Environmental quality; Evaluation system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5535670
Filename :
5535670
Link To Document :
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