Application of the Recurrent Multilayer Perceptron in Modeling Complex Process Dynamics

IEEE Transactions on Neural Networks

Volumn 5, Issue 2, 1994, Pages 255-266

  Parlos, Alexander G ^a   Chong, Kil T ^b   Atiya, Amir F ^c  

^a TEXAS A AND M UNIVERSITY   (United States)

^b Yeungnam University   (South Korea)

^c CAIRO UNIVERSITY   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CURVE FITTING; LARGE SCALE SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; PROCESS CONTROL; SIGNAL FILTERING AND PREDICTION; SYSTEM STABILITY;

EMPIRICAL PROCESS MODEL; INPUT OUTPUT MODELLING; LEARNING ALGORITHMS; MODELING COMPLEX PROCESS DYNAMICS; RECURRENT MULTILAYER PERCEPTRON;

NEURAL NETWORKS;

EID: 0028391673     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.279189     Document Type: Article

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