标题
Using SARIMA–CNN–LSTM approach to forecast daily tourism demand
作者
关键词
LSTM, Tourist arrivals, Deep neural network, Time-series model, CNN
出版物
Journal of Hospitality and Tourism Management
Volume 49, Issue -, Pages 25-33
出版商
Elsevier BV
发表日期
2021-09-04
DOI
10.1016/j.jhtm.2021.08.022
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Method Based on GA-CNN-LSTM for Daily Tourist Flow Prediction at Scenic Spots
- (2020) Wenxing Lu et al. Entropy
- Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data
- (2019) Taewook Kim et al. PLoS One
- Electricity Price Prediction Based on Hybrid Model of Adam optimized LSTM Neural Network and Wavelet Transform
- (2019) Zihan Chang et al. ENERGY
- Predicting residential energy consumption using CNN-LSTM neural networks
- (2019) Tae-Young Kim et al. ENERGY
- Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
- (2018) Jesus Lago et al. APPLIED ENERGY
- Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
- (2018) Xiangyun Qing et al. ENERGY
- Deep learning with long short-term memory networks for financial market predictions
- (2018) Thomas Fischer et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities
- (2018) Chiou-Jye Huang et al. SENSORS
- Time series forecasting of petroleum production using deep LSTM recurrent networks
- (2018) Alaa Sagheer et al. NEUROCOMPUTING
- Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation
- (2018) Caihong Hu et al. Water
- Financial time series forecasting model based on CEEMDAN and LSTM
- (2018) Jian Cao et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- A deep learning framework for financial time series using stacked autoencoders and long-short term memory
- (2017) Wei Bao et al. PLoS One
- A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks
- (2016) Guoqiang Sun et al. Energies
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology
- (2012) Bangzhu Zhu et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started