Applications of Neural Networks for Filtering

  • Abhay B. Bulsari
  • Henrik Saxén
Conference paper


This paper investigates the applicability of feedforward neural networks for filtering purposes. A biochemical process was simulated to generate the data for training and testing the networks. Delayed measurements of one or more state variables were used as inputs to the networks, which were trained to provide filtered values of the state variables as outputs. The results of filtering were quite accurate. In most cases, linear models i.e., networks with linear activation functions, were found to be adequate. This is due to the short sampling time and the fact that the non-linearities of the process are not very strong in the region of state space considered.


Feedforward Neural Network Linear Network Microbial Concentration Disturbance Variable Multilayer Feedforward Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag/Wien 1993

Authors and Affiliations

  • Abhay B. Bulsari
    • 1
  • Henrik Saxén
    • 1
  1. 1.Heat Engineering Laboratory Department of Chemical EngineeringÅbo AkademiÅboFinland

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