Gating Artificial Neural Network Based Soft Sensor.

Kadlec, P. and Gabrys, B., 2008. Gating Artificial Neural Network Based Soft Sensor. In: Nguyen, N. T. and Katarzyniak, R., eds. New Challenges in Applied Intelligence Technologies. Berlin: Springer-Verlag, pp. 193-202.

Full text available as:


Official URL:


This work proposes a novel approach to Soft Sensor modelling, where the Soft Sensor is built by a set of experts which are artificial neural networks with randomly generated topology. For each of the experts a meta neural network is trained, the gating Artificial Neural Network. The role of the gating network is to learn the performance of the experts in dependency on the input data samples. The final prediction of the Soft Sensor is a weighted sum of the individual experts predictions. The proposed meta-learning method is evaluated on two different process industry data sets.

Item Type:Book Section
Series Name:Studies in Computational Intelligence
Number of Pages:394
Series Name:Studies in Computational Intelligence
Subjects:Generalities > Computer Science and Informatics > Artificial Intelligence
Generalities > Computer Science and Informatics
Group:Faculty of Science and Technology
ID Code:8500
Deposited On:19 Dec 2008 19:06
Last Modified:10 Sep 2014 15:43


Downloads per month over past year

More statistics for this item...
Repository Staff Only -