Results 1 to 10 of about 60 (58)
Existence and uniqueness of the p-generalized modified error function
Electronic Journal of Differential Equations, 2020 In this article, we define a p-generalized modified error function as the solution to a non-linear ordinary differential equation of second order, with a Robin type boundary condition at x=0.
Julieta Bollati +3 more
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Bayesian Inference of a Non normal Multivariate Partial Linear Regression Model [PDF]
المجلة العراقية للعلوم الاحصائية, 2021 This research includes the Bayesian estimation of the parameters of the multivariate partial linear regression model when the random error follows the matrix-variate generalized modified Bessel distribution and found the statistical test of the model ...
Sarmad Abdulkhaleq Salih, Emad Aboudi
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Modify Training Directions in Function Space to Reduce Generalization Error
CoRR, 2023 We propose theoretical analyses of a modified natural gradient descent method in the neural network function space based on the eigendecompositions of neural tangent kernel and Fisher information matrix. We firstly present analytical expression for the function learned by this modified natural gradient under the assumptions of Gaussian distribution and
Yi Yu, Wenlian Lu, Boyu Chen
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New Accurate Approximation for Average Error Probability
IEEE Access, 2021 This paper proposes new accurate approximations for average error probability (AEP) of a communication system employing either M-phase-shift keying (PSK) or differential quaternary PSK with Gray coding (GC-DQPSK) modulation schemes over generalized ...
Yassine Mouchtak, Faissal El Bouanani
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Axioms, 2023 Gegenbauer polynomials constitute a numerical tool that has attracted the interest of many function theorists in recent times mainly due to their real-life applications in many areas of the sciences and engineering.
Sunday Olufemi Olatunji +2 more
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Axioms, 2022 In this paper, a new class of the continuous distributions is established via compounding the arctangent function with a generalized log-logistic class of distributions.
Omid Kharazmi +3 more
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Model‐free adaptive integral sliding mode constrained control with modified prescribed performance
IET Control Theory & Applications, 2023 In this work, a novel model‐free adaptive integral sliding model constrained control strategy with modified prescribed performance is proposed for nonlinear nonaffine systems via full‐form dynamic linearization (FFDL).
Xiuwei Huang +3 more
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Applied Sciences, 2022 This paper proposes a modified tangential contact stiffness model considering friction’s effect, which is the first key step to establish the dynamic model of the fixture-workpiece system, and this is the foundation of vibration suppression for the ...
Zhiyang Niu +5 more
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End-to-End Learning of Constellation Shaping for Optical Fiber Communication Systems
IEEE Photonics Journal, 2023 End-to-end learning based on autoencoder can realize robust constellation shaping for optical fiber communications. The existing schemes use the symbol-wise autoencoder (SAE) or bit-wise autoencoder (BAE) to realize the constellation shaping.
Wenshan Jiang +7 more
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Mathematics, 2023 In this article, we successfully obtain novel solutions for the coupled Drinfel’d–Sokolov–Wilson DSW system utilizing various methods. These include soliton solutions characterized by hyperbolic, rational, and trigonometric functions.
Sumayah Hamzah Alhejaili +1 more
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