A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models.
Juan Jesús Ruiz-AguilarDaniel UrdaJosé Antonio Moscoso LópezJavier González-EnriqueIgnacio J. TuriasPublished in: Neurocomputing (2020)
Keyphrases
- machine learning
- learning algorithm
- artificial intelligence
- machine learning approaches
- statistical models
- data mining
- multiple models
- statistical methods
- machine learning algorithms
- computational intelligence
- probabilistic model
- prior knowledge
- computer science
- pattern recognition
- wireless sensor networks
- model selection
- decision trees
- prediction model
- computer vision
- neural network
- machine learning models
- forecast models