Chemical Property-Guided Neural Networks for Naphtha Composition Prediction.
Chonghyo JooJeongdong KimHyungtae ChoJaewon LeeSungho SuhJunghwan KimPublished in: INDIN (2023)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- artificial neural networks to predict
- genetic algorithm
- neural networks and support vector machines
- pattern recognition
- radial basis function network
- prediction algorithm
- neural network ensemble
- artificial neural networks
- neural network model
- multilayer perceptron
- expert systems
- prediction error
- multi layer
- radial basis function neural network
- database
- network architecture
- multi layer perceptron
- chemical engineering
- web services composition
- desirable properties
- competitive learning
- fuzzy systems
- recurrent neural networks
- feed forward
- fault diagnosis
- back propagation
- machine learning
- bit rate
- artificial intelligence