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Research on Quality Evaluation of Online Reservation Hotel APP Based on a RBF Neural Network and Support Vector Machine

Research on Quality Evaluation of Online Reservation Hotel APP Based on a RBF Neural Network and Support Vector Machine

Ma Xiang
Copyright: © 2020 |Volume: 12 |Issue: 2 |Pages: 15
ISSN: 1935-5688|EISSN: 1935-5696|EISBN13: 9781799805427|DOI: 10.4018/IJISSS.2020040104
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MLA

Xiang, Ma. "Research on Quality Evaluation of Online Reservation Hotel APP Based on a RBF Neural Network and Support Vector Machine." IJISSS vol.12, no.2 2020: pp.50-64. http://doi.org/10.4018/IJISSS.2020040104

APA

Xiang, M. (2020). Research on Quality Evaluation of Online Reservation Hotel APP Based on a RBF Neural Network and Support Vector Machine. International Journal of Information Systems in the Service Sector (IJISSS), 12(2), 50-64. http://doi.org/10.4018/IJISSS.2020040104

Chicago

Xiang, Ma. "Research on Quality Evaluation of Online Reservation Hotel APP Based on a RBF Neural Network and Support Vector Machine," International Journal of Information Systems in the Service Sector (IJISSS) 12, no.2: 50-64. http://doi.org/10.4018/IJISSS.2020040104

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Abstract

In order to evaluate the quality of online reservation hotel APP, RBF neural and support vector machine are used to evaluate the quality of online reservation hotel APP. First, the basic theory of the RBF neural network is studied, and the training algorithm of the RBF neural network is designed. Second, the basic model of support vector machine is analyzed, and the training algorithm is designed. Third, the evaluation index system of online reservation hotel APP is designed, and the weight of every index is established based on questionnaires and expert interview, and the evaluation simulation is carried out for 25 online reservation hotel APP, results show that the RBF neural network and support vector machine can obtain consistent evaluation results, and the support vector machine has better evaluation performance.

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