Neural network applications in polymerization processes
AUTOR(ES)
Fernandes, F. A. N., Lona, L. M.F.
FONTE
Brazilian Journal of Chemical Engineering
DATA DE PUBLICAÇÃO
2005-09
RESUMO
Neural networks currently play a major role in the modeling, control and optimization of polymerization processes and in polymer resin development. This paper is a brief tutorial on simple and practical procedures that can help in selecting and training neural networks and addresses complex cases where the application of neural networks has been successful in the field of polymerization.
Documentos Relacionados
- PREDICTIVE CONTROL OF A BATCH POLYMERIZATION SYSTEM USING A FEEDFORWARD NEURAL NETWORK WITH ONLINE ADAPTATION BY GENETIC ALGORITHM
- Semantic Representations in a Weightless Neural Network
- Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach
- Synchronous neural activity in scale-free network models versus random network models
- Cellulose biogenesis: Polymerization and crystallization are coupled processes in Acetobacter xylinum