A Method Based on GA-CNN-LSTM for Daily Tourist Flow Prediction at Scenic Spots

A Method Based on GA-CNN-LSTM for Daily Tourist Flow Prediction at Scenic Spots

Accurate tourist flow prediction is key to ensuring the normal operation of popular scenic spots. However, one single model cannot effectively grasp the characteristics of the data and make accurate predictions because of the strong nonlinear characteristics of daily tourist flow data. Accordingly,...

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Bibliographic Details
Main Authors: Wenxing Lu, Haidong Rui, Changyong Liang, Li Jiang, Shuping Zhao, Keqing Li
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Entropy
Subjects:
prediction
daily tourist flow
genetic algorithm (ga)
convolutional neural network (cnn)
long-short-term memory network (lstm)
optimization method
Online Access:https://www.mdpi.com/1099-4300/22/3/261

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https://www.mdpi.com/1099-4300/22/3/261

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