Use of neural network for modeling of non-linear process integration technology in chemical engineering

Chemical Engineering and Processing: Process Intensification

Volumn 39, Issue 5, 2000, Pages 449-458

  Abilov, Abdulrza ^a   Zeybek, Zehra ^a  

^a ANKARA UNIVERSITY   (Turkey)

Author keywords

Industrial petrol refinery complex; Integration technology; Modeling; Neural network; Non linear processes

Indexed keywords

MATERIALS BALANCE; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS;

INDUSTRIAL PETROL REFINERY COMPLEX;

PETROLEUM REFINERIES;

CHEMICAL ENGINEERING; NEURAL NETWORK; NON-LINEAR SYSTEM; REFINERY;

EID: 0033864571     PISSN: 02552701     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0255-2701(00)00092-1     Document Type: Article

References (19)

1. Multi-agent techniques in holonic manufacturing systems
2. Off-line quality control, parameter design, and taguchi method
3. Application of integrated process and control system design to waste water neutralisation
4. Modeling chemical processes using prior knowledge and neural networks
5. Artificial neural networks: Studies in process modelling and control
6. Use of neural nets for modelling of chemical process systems
7. Identification of chemical process using neural networks
8. Artificial neural network model of knowledge representation in chemical engineering
9. Back-propagation algorithm for training neural networks
10. Improvement of the back-propagation algorithm for training neural networks
11. Multilayer neural networks: Approximated canonical decomposition of nonlinearity
12. Towards improved penicillin fermentation via artificial neural networks
13. Hierarchical neural networks
14. Combining neural network with experimental design in modelling and accurate estimation of gas/liquid mass transfer coefficient