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A neural network modeling method for batch process

Lookup NU author(s): Dr Jie ZhangORCiD


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For the production of high quality chemicals batch manufacture plays an important role. Since some parameters of a batch chemical reaction are difficult to measure with conventional instruments, Artificial Neural Network (ANN) model has become a useful tool for the estimation of chemical reaction indexes, Data restructuring is an effective method for improving properties and accuracy of the ANN model. This paper constructed an ANN model for estimating the number-average molecular weight and polydispersity in batch polymerization process and presented the method of training data restructuring. The results were satisfactory.

Publication metadata

Author(s): Liu Y, Yang XH, Zhang J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Advances in Neural Networks: International Symposium on Neural Networks (ISNN 2004)

Year of Conference: 2004

Pages: 874-879

ISSN: 0302-9743

Publisher: Springer


DOI: 10.1007/978-3-540-28648-6_139

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 3540228438