Combining Deep Neural Networks and Classical Time Series Regression Models for Forecasting Patient Flows in Hong Kong.
Shancheng JiangRan XiaoLong WangXiong LuoChao HuangJenq-Haur WangKwai-Sang ChinXiming NiePublished in: IEEE Access (2019)
Keyphrases
- regression model
- hong kong
- neural network
- prediction model
- support vector regression
- forecasting accuracy
- chaotic time series
- mackey glass
- financial time series
- higher education
- model selection
- regression methods
- neural network model
- linear model
- short term prediction
- generalized linear models
- regression analysis
- bp neural network
- internet banking
- linear regression model
- information literacy
- non stationary
- forecasting model
- explanatory variables
- multiple linear regression
- target variable
- fuzzy logic
- back propagation
- short term
- stock market
- university of hong kong
- box jenkins
- multivariate regression
- regression trees
- generalized linear
- secondary school
- regression method
- patient data
- long term
- rule extraction
- interval valued data
- predictive model
- learning algorithm