Research Catalog

Neural networks for chemical engineers

Title
Neural networks for chemical engineers / edited by A.B. Bulsari.
Publication
Amsterdam ; New York : Elsevier, 1995.

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TextUse in library TP184 .N48 1995Off-site

Details

Additional Authors
Bulsari, A. B.
Description
ix, 680 pages : illustrations; 25 cm.
Series Statement
Computer-aided chemical engineering ; 6
Uniform Title
Computer-aided chemical engineering ; 6.
Subject
  • Chemical engineering > Data processing
  • Neural networks (Computer science)
  • Chemie
  • Chemische Verfahrenstechnik
  • Neuronales Netz
  • Procestechnologie
  • Neurale netwerken
Bibliography (note)
  • Includes bibliographical references and index.
Contents
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 -- 21. The videographic characterisation of flotation froths using neural networks / D. W. Moolman, C. Aldrich and J. S. J. van Deventer -- 22. Fuzzy modelling using two connectionist architectures / J. Zhang and A. J. Morris -- 23. Dynamic system identification using Elman and Jordan networks / D. T. Pham, X. Liu and S. J. Oh -- 24. Time-series prediction with on-line correction of Kalman gain -- a connectionist approach / A. Dobnikar, A. Likar and M. Trebar -- 25. Application of adaptive neural network based control strategies for a continuous polymerisation reactor / N. Watanabe -- 26. Artificial neural networks and multivariate statistics / E. B. Martin, A. J. Morris and J. Zhang -- 27. Clustering and statistical techniques in neural networks / V. Venkatasubramanian and R. Rengaswamy.
ISBN
  • 0444820973
  • 9780444820976
LCCN
95009927
OCLC
  • ocm32166462
  • 32166462
  • SCSB-9332443
Owning Institutions
Princeton University Library