A novel reflective intelligence optimizer with machine learning (RIO-ML) for parameter estimation of photovoltaic models. [PDF]
Bayoumi A, Elbana MM, Nasef AA, Ali ME.
europepmc +1 more source
Modeling and benchmarking quantum optical neurons for efficient neural computation. [PDF]
Andrisani A +5 more
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SHARP: a hybrid metaheuristic approach for intelligent robotic path planning. [PDF]
Fakhouri H +7 more
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Multi-objective optimization of dimensional accuracy and part weight in injection molding of a 3D curved shin guard plate. [PDF]
Hoang S, Pham VQ, Tran CC.
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Phase-independent wireless data aggregation via optical in-sensor computing. [PDF]
Sun S +13 more
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A deep learning approach for solving a fractional order Monkeypox transmission model using a harmonic neural network optimized with SGDM. [PDF]
Shoket N +4 more
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A new paradigm for medical data circulation: research on medical data sharing based on evolutionary game theory. [PDF]
Guo B, Wang D, Niu M, Ma J.
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Rates of Ideal Convergence for Approximation Operators
This paper presents some convergence results on the Korovkin-type approximation theory when the notion of \({\mathcal I}\)-convergence is used, where \({\mathcal I}\) is an ideal in \(\mathbb N\) such that \(\{n\}\in{\mathcal I}\), \(n\in\mathbb N\). This new type of convergence was introduced by \textit{P. Kostyrko, T. Šalát} and \textit{W. Wilczynski}
Duman, Oktay +2 more
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More about the kernel convergence and the ideal convergence
Acta Mathematica Sinica, English Series, 2012Let \(\mathcal{I}\) be a proper ideal of subsets of \(\mathbb{N}\) and let \(p:\ell_{\infty}\rightarrow\mathbb{R}\) a seminorm with \(p\left( \chi_{\mathbb{N}}\right) =\sup\left\{ p\left( t\right) :\left\| t\right\| _{\infty}\leq1\right\} \). A sequence \(\left( x_{n}\right) \) of points of a real Banach space \(X\) is said to be\newline1) \(\mathcal{I}
Zhou, Xian Geng, Zhang, Min
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A Tauberian theorem for ideal statistical convergence
Given an ideal I on the positive integers, a real sequence (xn) is said to be I-statistically convergent to l provided that n∈N:[Formula presented]|{k≤n:xk∉U}|≥ε∈Ifor all neighborhoods U of l and all ε>0. First, we show that I-statistical convergence
Paolo Leonetti, Marek Balcerzak
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