Publications:Fusing neural networks through space partitioning and fuzzy integration

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Title Fusing neural networks through space partitioning and fuzzy integration
Author
Year 2002
PublicationType Journal Paper
Journal Neural Processing Letters
HostPublication
Conference
DOI http://dx.doi.org/10.1023/A:1019703911322
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:285845
Abstract

To improve recognition results, decisions of multiple neural networks can be aggregated into a committee decision. Aggregation weights assigned to neural networks or groups of networks can be the same in the entire data space or can be different (data dependent) in various regions of the space. In this paper, we propose a method for obtaining data dependent aggregation weights. The proposed approach is tested in two aggregation schemes, namely aggregation through neural network selection, and aggregation by the Choquet integral with respect to the lambda-fuzzy measure. The effectiveness of the approach is demonstrated on two artificial and three real data sets.