A neural network modeling method for batch process

Liu, Y; Yang, XH; Zhang, J

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

A neural network modeling method for batch process

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

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.