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: Int. J. Comput. Intell. Appl. (2010)
Keyphrases
- graphical representation
- chemical process
- neural network
- conditional dependence
- fault diagnosis
- graphical representations
- causal relationships
- influence diagrams
- belief networks
- back propagation
- neural network model
- artificial neural networks
- bayesian networks
- random variables
- genetic algorithm
- expert systems
- artificial intelligence
- uml activity diagrams
- theoretical framework
- multi attribute
- radial basis function
- graphical models
- special case
- reinforcement learning
- knowledge base
- data mining