ERIC Number: EJ1080203
Record Type: Journal
Publication Date: 2013
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1925-4741
EISSN: N/A
Available Date: N/A
Predictions on the Development Dimensions of Provincial Tourism Discipline Based on the Artificial Neural Network BP Model
Yang, Yang; Hu, Jun; Lv, Yingchun; Zhang, Mu
Higher Education Studies, v3 n3 p13-20 2013
As the tourism industry has gradually become the strategic mainstay industry of the national economy, the scope of the tourism discipline has developed rigorously. This paper makes a predictive study on the development of the scope of Guangdong provincial tourism discipline based on the artificial neural network BP model in order to find out how the branch of tourism studies can better adapt to the development of the tourism industry. The research findings indicate that the BP model can be applied to the predictions of the scope of the tourism discipline and provide a quantitative basis for decision making with regard to the spatial layout and optimal allocation of the tourism discipline.
Descriptors: Tourism, Foreign Countries, Industry, Artificial Intelligence, Higher Education, Computation, Information Processing, Economic Development, Research and Development, Costs, Colleges, Income, Expenditures, Training, Simulation, Technology Uses in Education
Canadian Center of Science and Education. 1120 Finch Avenue West Suite 701-309, Toronto, OH M3J 3H7, Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: hes@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/hes
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A
Author Affiliations: N/A