Developing a predictive model using multivariate analysis and Long Short-Term Memory (LSTM) to assess corrosion degradation in mining pipeline thickness.
Kalidou Moussa SowNadia GhazzaliPublished in: FLAIRS (2024)
Keyphrases
- recurrent neural networks
- long short term memory
- predictive model
- artificial neural networks
- neural network
- data mining models
- historical data
- prediction model
- feed forward
- decision trees
- text mining
- probabilistic model
- knowledge discovery
- classification rules
- predictive analytics
- data mining algorithms
- classification models
- data sets