LSTM based Time-series Prediction for Optimal Scheduling in the Foundry Industry.
Alexander RoseMartin GrotjahnPublished in: IJCNN (2022)
Keyphrases
- software engineering
- optimal scheduling
- recurrent neural networks
- scheduling problem
- scheduling algorithm
- case study
- artificial neural networks
- moving average
- non stationary
- world wide
- function approximation
- neuro fuzzy
- target audience
- neural network model
- high tech
- genetic algorithm
- ls svm
- multivariate time series
- leading edge
- feed forward
- autoregressive
- real time
- decision trees
- information systems
- search engine
- information retrieval
- machine learning
- real world