Approximation by parametrized logistic activated convolution type operators

George A. Anastassiou
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Abstract

In this work we introduce for the first time the univariate parametrized logistic activated convolution type operators in three kinds. We present their approximation properties, that is the quantitative convergence to the unit operator via the modulus of continuity. We continue with the global smoothness preservation of these operators. We present extensively the related iterated approximation, as well as, the simultaneous approximation and their combinations. Including differentiability and fractional differentiabily into our research, are producing higher speeds of approximation. Simultaneous global smoothness preservation is also treated.

参数化逻辑激活卷积型算子的近似方法
在这项研究中,我们首次引入了三种单变量参数化逻辑激活卷积型算子。我们介绍了它们的近似性质,即通过连续性模量定量收敛到单位算子。我们继续讨论这些算子的全局平稳性保持。我们广泛介绍了相关的迭代逼近、同步逼近及其组合。将可微分性和分数可微分性纳入我们的研究,将产生更高的逼近速度。同时,我们还处理了全局平稳性保持问题。
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