A methodology for scheduling within-day roadway work zones using deep neural networks and active learning.
Mostafa SaneiiAli KazemeiniSania Esmaeilzadeh SeilabiMohammad MiralinaghiSamuel LabiPublished in: Comput. Aided Civ. Infrastructure Eng. (2023)
Keyphrases
- active learning
- neural network
- pattern recognition
- scheduling problem
- feed forward
- learning strategies
- imbalanced data classification
- resource allocation
- supervised learning
- labeled data
- semi supervised
- fuzzy logic
- artificial neural networks
- learning algorithm
- back propagation
- neural network model
- round robin
- pool based active learning
- relevance feedback
- scheduling algorithm
- cost sensitive
- random sampling
- fuzzy systems
- experimental design