Granularity into Functional Networks | IEEE Conference Publication | IEEE Xplore

Granularity into Functional Networks


Abstract:

In the last years, many papers on Granular Neural Networks appeared, aiming at achieving a higher degree of transparency in the network architecture and a better understa...Show More

Abstract:

In the last years, many papers on Granular Neural Networks appeared, aiming at achieving a higher degree of transparency in the network architecture and a better understanding of the involved steps. This paper is a first attempt to emphasize and exploit the notion of granularity into Functional Networks. Functional Networks are a relatively recent alternative to Neural Networks and they have been proved to ensure better performances. We propose a revised scheme from a granular perspective with a different learning algorithm with respect to the original one. An application example shows the good performance of this new scheme.
Date of Conference: 21-23 June 2017
Date Added to IEEE Xplore: 20 July 2017
ISBN Information:
Conference Location: Exeter, UK

References

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