Process modelling development through artificial neural networks and hybrid models

Computers and Chemical Engineering

Volumn 24, Issue 2-7, 2000, Pages 1355-1360

  Zorzetto, L F M ^a   Maciel Filho, R ^b   Wolf Maciel, M R ^b  

^a DUPONT COMPANY   (United States)

^b UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Artificial neural networks; Hybrid models; Process modelling development

Indexed keywords

BACKPROPAGATION; BREWERIES; FEEDFORWARD NEURAL NETWORKS; ITERATIVE METHODS; MATHEMATICAL MODELS; OPTIMIZATION; PROCESS CONTROL; PROCESS ENGINEERING; RUNGE KUTTA METHODS;

BATCH BEER PRODUCTION; BIOPROCESS; BLACK BOX; GREY BOX; HYBRID MODELS; PROCESS MODELLING DEVELOPMENT;

COMPUTER SIMULATION;

ARTIFICIAL NEURAL NETWORK; BEER; BIOPROCESS; CHEMICAL ENGINEERING; CHEMICAL INDUSTRY; CONFERENCE PAPER; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PROCESS CONTROL;

EID: 0343627880     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(00)00419-1     Document Type: Conference Paper

References (7)

1. Psichoglos, D. C., & Ungar, L. H. (1992). A hybrid neural network-first principle approach to process modelling. AIChE, 38(10), 1499-1511.
2. Ramirez, W. F. (1987). Optimal state and parameter identification. An application to batch fermentation. Chemical Engineering Science, 42(11), 2749-2756.
3. Szeifer, F., Nagy, L., Chovan, T., & Abonyi, J. (1999). Hybrid conduction model and its application in predictive pH control. Computers & Chemical Engineering, 23(1), 227-230.
4. Thompson, M. L., & Kramer, M. A. (1994). Modelling chemical processes using prior knowledge and neural networks. AIChE, 40(8), 1328-1340.
5. Wilson, J. A., & Zorzetto, L. F. M. (1996). A generalized approach to process state estimation using artificial network/mechanistic models. Computers & Chemical Engineering, 21, 951-963.
6. Zorzetto, L.F.M. (1995). Process monitoring with hybrid neural networks/mechanism model based state estimator, PhD Thesis, University of Nottingham, UK.
7. Zorzetto, L.F.M., & Maciel Filho R. (1997). Modelling a batch beer production system through artificial neural networks and hybrid models using distinct levels of information, The First European Congress on Chemical Engineering, ECC1. (pp. 2535-2538). Florence, Italy.