@article{MAKHILLIJSC20061220752,
    title = {The Classes of Left and Right sigmoidal signals for Feed forward Neural Networks},
    journal = {International Journal of Soft Computing},
    volume = {1},
    number = {2},
    pages = {118-120},
    year = {2006},
    issn = {1816-9503},
    doi = {ijscomp.2006.118.120},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2006.118.120},
    author = {M. Ramakrishnan,C.M. Velu,K. Ekambavanan,P. Thangavelu and},
    keywords = {Feed forward networks,activation functions,sigmoidal signals,approximation},
    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.}
    }