Self-organizing maps for analysis of EPS-batch process
Applications of Large Scale Industrial Systems, Volume # 1 | Part# 1
Mikko Heikkinen; Ville Nurminen; Yrjo Hiltunen
Digital Object Identifier (DOI)
artificial intelligence,neural networks,self-organizing systems,process control,process identification
Self-organizing maps (SOM) have been successfully applied in many fields of research. In this paper, we demonstrate the use of SOM-based method for the analysis of EPS-batch process. A data set of EPS-batch process was used for training a SOM. This SOM could be used for estimating the optimal amounts of the stabilisation agent. The results of a validation data set showed a good agreement between the actual and estimated amounts of the stabilisation agent. Based on this model a Web application was made for test use at the plant. The results indicate that the SOM method can also be efficiently applied to the analysis of the batch process.
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