Results 11 to 20 of about 6,788,804 (303)
Statistical Riesz and Nörlund convergence for sequences of fuzzy numbers
Journal of Amasya University the Institute of Sciences and Technology, 2023 Nuray and Savaş proposed statistical convergence of fuzzy number sequences. Afterward, Tripathy and Baruah presented Riesz and Nörlund convergence for sequences of fuzzy numbers.
Samira Jalali +2 more
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Approximation by statistical convergence with respect to power series methods
Hacettepe Journal of Mathematics and Statistics, 2022 In the present work, using statistical convergence with respect to power series methods, we obtain various Korovkin-type approximation theorems for linear operators defined on derivatives of functions. Then we give an example satisfying our approximation
Nilay Şahin Bayram, S. Yıldız
semanticscholar +1 more source
Predicting Future Promising Technologies Using LSTM
Informatics, 2022 With advances in science and technology and changes in industry, research on promising future technologies has emerged as important. Furthermore, with the advent of a ubiquitous and smart environment, governments and enterprises are required to predict ...
Seol-Hyun Noh
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Rough statistical convergence of double sequences in intuitionistic fuzzy normed spaces
Journal of New Results in Science, 2022 This paper proposes rough convergence and rough statistical convergence of a double sequence in intuitionistic fuzzy normed spaces. It then defines the rough statistical limit points and rough statistical cluster points of a double sequence in these ...
Aykut Or, Ahmet Özcan
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Analysis of Gradient Vanishing of RNNs and Performance Comparison
Information, 2021 A recurrent neural network (RNN) combines variable-length input data with a hidden state that depends on previous time steps to generate output data. RNNs have been widely used in time-series data analysis, and various RNN algorithms have been proposed ...
Seol-Hyun Noh
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Lacunary statistical convergence [PDF]
Pacific Journal of Mathematics, 1993 The sequence \(x\) is statistically convergent to \(L\) provided that for each \(\varepsilon>0\), \[ \lim_ n {1 \over n} \{\text{the number of } k \leq n:| x_ k-L | \geq \varepsilon\}=0. \] A related concept is introduced by replacing the set \(\{k:k \leq n\}\) with \(\{ k:k_{r-1}
Fridy, J. A., Orhan, C.
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Performance Comparison of CNN Models Using Gradient Flow Analysis
Informatics, 2021 Convolutional neural networks (CNNs) are widely used among the various deep learning techniques available because of their superior performance in the fields of computer vision and natural language processing.
Seol-Hyun Noh
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On (f, ρ)−Statistical convergence and strong (f, ρ)−summability of order α [PDF]
E-Journal of Analysis and Applied Mathematics, 2022 The main object of this article is to introduce the concepts of (f, ρ)− statistical convergence of order α and strong (f, ρ)− summability of order α of sequences of real numbers and give some inclusion relations between these spaces.
Hacer Şengül Kandemir +2 more
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On $A$-statistical convergence and $A$-statistical Cauchy via ideal
Karpatsʹkì Matematičnì Publìkacìï, 2022 In [Analysis 1985, 5 (4), 301-313], J.A. Fridy proved an equivalence relation between statistical convergence and statistical Cauchy sequence. In this paper, we define $A^{I^{\ast }}$-statistical convergence and find under certain conditions, that it is ...
O.H. Edely, M. Mursaleen
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Rough statistical convergence in intuitionistic fuzzy normed spaces
Filomat, 2021 In this paper, we have defined rough statistical convergence in intuitionistic fuzzy normed spaces which is an useful characterization in the field of statistical convergence.
Reena Antal +2 more
semanticscholar +1 more source