Results 21 to 30 of about 8,285,384 (290)
Solving optimal control problems of the time-delayed systems by a neural network framework
Connection Science, 2019 A numerical method using neural networks for solving time-delayed optimal control problems is studied. The problem is first transformed into one without a time-delayed argument, using a Páde approximation.
Alireza Nazemi +2 more
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Asymptotic Expansions for Moench’s Integral Transform of Hydrology
Mathematics, 2023 Theis’ theory (1935), later improved by Hantush & Jacob (1955) and Moench (1971), is a technique designed to study the water level in aquifers. The key formula in this theory is a certain integral transform H[g](r,t) of the pumping function g that ...
José L. López +2 more
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Error bound for radial basis interpolation in terms of a growth function [PDF]
, 2007 We suggest an improvement of Wu-Schaback local error bound for radial basis interpolation by using a polynomial growth function. The new bound is valid without any assumptions about the density of the interpolation centers.
Davydov, Oleg
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Fractional power series neural network for solving delay fractional optimal control problems
Connection Science, 2020 In this paper, we develop a numerical method for solving the delay optimal control problems of fractional-order. The fractional derivatives are considered in the Caputo sense.
Farzaneh Kheyrinataj, Alireza Nazemi
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Overview of intelligent optimization algorithm design of FIR digital filter
Dianzi Jishu Yingyong, 2021 This article summarizes the intelligent optimization algorithm of finite impulse response digital filter(FIR). The main idea of optimization design is to transform the digital filter design problem into the error function minimization problem.
Zhang Shuyu, Wang Ting
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Adaptive Minimum Bit Error Rate Beamforming [PDF]
, 2005 An adaptive beamforming technique is proposed based on directly minimizing the bit error rate. It is demonstrated that this minimum bit error rate (MBER) approach utilizes the antenna array elements more intelligently, than the standard minimum mean ...
N. N. Ahmad +6 more
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Analytic Error Function and Numeric Inverse Obtained by Geometric Means
Stats, 2023 Using geometric considerations, we provided a clear derivation of the integral representation for the error function, known as the Craig formula. We calculated the corresponding power series expansion and proved the convergence.
Dmitri Martila, Stefan Groote
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Multivariate error function based neural network approximations
Journal of Numerical Analysis and Approximation Theory, 2014 Here we present multivariate quantitative approximations of real and complex valued continuous multivariate functions on a box or \(\mathbb{R}^{N},\) \(N\in \mathbb{N}\), by the multivariate quasi-interpolation, Baskakov type and quadrature type neural ...
George A. Anastassiou
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Measurement Science Review, 2021 As harmonic distortion of voltage and current is reality in the power system, the need for accurate measurement of electrical power and energy goes beyond the instruments’ specifications and calibration procedures regarding pure sine wave signals ...
Demerdziev Kiril, Dimchev Vladimir
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Applied SciencesMonocular distance measurement estimates the target distance from the apparent size of a known target, and its accuracy is strongly affected by edge localization accuracy.
Yuhao Liu, Yuzhe Pan, Hui Zhang
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