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Identification of a nonlinear multivariable dynamic process using feed-forward networks
Can Isik
, Mete A. Cakmakci
Department of Electrical Engineering & Computer Science
Research output
:
Chapter in Book/Entry/Poem
›
Conference contribution
1
Scopus citations
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Keyphrases
Multivariable
100%
Dynamic Process
100%
Feedforward Network
100%
Process Outputs
100%
Neural Network
50%
System Dynamics
50%
Multi-input multi-output
50%
Estimation Accuracy
50%
Feedforward Neural Network
50%
Hidden Layer
50%
Connectivity Pattern
50%
Output Dynamics
50%
Partial Connectivity
50%
Engineering
Dynamic Process
100%
Feedforward
100%
Process Output
100%
Time Domain
50%
Frequency Domain
50%
Multi-Input Multi-Output
50%
Hidden Layer
50%
Internal Variable
50%
Practical Aspect
50%
Chemical Engineering
Neural Network
100%
Feedforward Neural Network
100%