activity
20032023
most citedMeasure theoretic results for approximation by neural networks with limited weights

12 citations · 26 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2023★ 12 cited

Measure theoretic results for approximation by neural networks with limited weights

Vugar Ismailov, Ekrem Savas

In this paper, we study approximation properties of single hidden layer neural networks with weights varying on finitely many directions and thresholds from an open interval. We ob…

math.GN2018

Weak partial -metric space and Nadler's theorem

Tanzeela Kanwal, Azhar Hussain

We study the notions of weak partial -metric space and weak partial Hausdorff -metric space. Moreover, we intend to generalize Nadler's theorem in weak partial -metric spa…

math.FA2015

Measures of noncompactness in some new lacunary difference sequence spaces

Ekrem Savas, Stuti Borgohain

In this research article, we establish some identities and estimates for the operator norms and the Hausdorff measures of noncompactness of certain operators on some lacunary diffe…

math.FA2015★ 3 cited

Some new lacunary -statistical -convergent sequence spaces of order

Ekrem Savas, Stuti Borgohain

We study the concept of density for sets of natural numbers in some lacunary -convergent sequence spaces. Also we are trying to investigate some relation between the ordinary co…

math.FA2015

On strongly almost lacunary statistical -convergence defined by Musielak-Orlicz function

Ekrem Savas, Stuti Borgohain

We study some new strongly almost lacunary statistical -convergent sequence space of order defined by a Musielak-Orlicz function. We also give some inclusion relations betwe…

math.FA2015

Note on -statistical convergence

Stuti Borgohain, Ekrem Savas

In this article, we study about the -statistical convergence with respect to the density of moduli and find some results related to statistical convergence as well. Also we intr…