Tourism Demand Forecasting Based on Grey Model and BP Neural Network
This article aims to explore a more suitable prediction method for tourism complex environment, to improve the accuracy of tourism prediction results and to explore the development law of China’s domestic tourism so as to better serve the domestic tourism management and tourism decision-making. This...
Saved in:
Main Author: | Xing Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/5528383 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network
by: Yuchao Zheng, et al.
Published: (2019-01-01) -
Forecast of Chemical Export Trade Based on PSO-BP Neural Network Model
by: Na Li, et al.
Published: (2022-01-01) -
Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network
by: Hao Peng, et al.
Published: (2020-01-01) -
Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network
by: Wenguang Yu, et al.
Published: (2021-01-01) -
Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network
by: Shuo Zhu, et al.
Published: (2022-01-01)