International Journal of Soft Computing

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The Classes of Left and Right sigmoidal signals for Feed forward Neural Networks

M. Ramakrishnan , C.M. Velu , K. Ekambavanan , P. Thangavelu and P. Vivekanandan
Page: 118-120 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

The authors recently introduced left sigmoidal signals and right sigmoidal signals to prove certain function approximation theorems for Feed Forward Neural Networks. In this study we identify a class LS (resp. RS.) of left sigmoidal (resp.Right sigmoidal) signals having the property that the envelope of the derivatives of members of a class LS (resp. RS) is a left sigmoidal (resp.Right sigmoidal) signal.

How to cite this article:

M. Ramakrishnan , C.M. Velu , K. Ekambavanan , P. Thangavelu and P. Vivekanandan . The Classes of Left and Right sigmoidal signals for Feed forward Neural Networks.
DOI: https://doi.org/10.36478/ijscomp.2006.118.120
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2006.118.120