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Neural networks for chemical engineers / |
Bulsari, A. B.
Elsevier,
Neural networks for chemical engineers /
16. Nonlinear system identification using neural networks: dynamics and instabilities
Authors

R. Rico-Martinez, I. G. Kevrekidis and K. Krischer

ARI Id

1675050616926_51643949

Access

Not Available Free

Table of Contents of Book
Showing 1 to 20 of 27 entries
Chapters/HeadingsAuthor(s)PagesInfo
1. An introduction to artificial neural networks
D. T. Pham
2. Unsupervised neural learning
E. Oja
3. Back-propagation and its variations
D. Tsaptsinos
4. The general approximation problem for feed-forward neural networks
A. B. Bulsari
5. Connectionism vs symbolism: an overview
A. B. Bujosa, R. Criado and A. R. Bujosa
6. Introduction to connectionist computer vision systems
D. W. Moolman, C. Aldrich and J. S. J. van Deventer
7. Lime kiln simulation and control by neural networks
B. Ribeiro and A. Dourado Correia
8. Concentration estimation using neural networks and partial conventional models
B. Schenker and M. Agarwal
9. Data rectification for dynamic processes using artificial neural networks
T. W. Karjala and D. M. Himmelblau
10. Applications of neural networks in process dynamics
A. B. Bulsari
11. Process modelling for fault detection using neural networks
T. Fujiwara
12. Local modelling as a tool for semi-empirical or semi-mechanistic process modelling
B. A. Foss and T. A. Johansen
13. Estimation of measurement error variances and process data reconciliation
C. Aldrich and J. S. J. van Deventer
14. Process monitoring and visualization using self-organizing maps
O. Simula and J. Kangas
15. An overview of dynamic system control using neural networks
P. J. Zufiria
16. Nonlinear system identification using neural networks: dynamics and instabilities
R. Rico-Martinez, I. G. Kevrekidis and K. Krischer
17. Pattern-based interpretation of on-line process data
J. F. Davis and C.-M. Wang
18. Modelling ill-defined behaviour of reacting systems using neural networks
C. Aldrich and J. S. J. van Deventer
19. Global vs local neural networks in identification and control: a case study of neutralization
M. N. Karim and B. Eikens
20. Modeling chemical processes using multiresolution representation neural networks
K. Yoda and T. Furuya
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 27 entries
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