An end-to-end deep learning system for requirements classification using recurrent neural networks.
Osamah AlDhaferIrfan AhmadSajjad MahmoodPublished in: Inf. Softw. Technol. (2022)
Keyphrases
- end to end
- recurrent neural networks
- deep learning
- unsupervised learning
- machine learning
- neural network
- feed forward
- pattern recognition
- congestion control
- restricted boltzmann machine
- unsupervised feature learning
- echo state networks
- text localization and recognition
- image classification
- artificial neural networks
- training set
- text classification
- supervised learning
- support vector
- recurrent networks
- feature extraction
- higher order
- feature selection
- decision trees
- real time
- face recognition
- training data
- mental models
- multiscale
- reinforcement learning
- back propagation