Graphical representation of cause-effect relationships among chemical process variables using a neural network approach.
Gustavo Matheus de AlmeidaMarcelo CardosoDanilo C. RenaSong Won ParkPublished in: IJCNN (2008)
Keyphrases
- graphical representation
- chemical process
- neural network
- conditional dependence
- fault diagnosis
- graphical representations
- causal relationships
- influence diagrams
- back propagation
- bayesian networks
- belief networks
- fuzzy logic
- random variables
- multi attribute
- artificial neural networks
- expert systems
- data mining
- artificial intelligence
- multilayer perceptron
- decision problems
- computational complexity
- markov random field