Results 21 to 30 of about 1,693,101 (265)
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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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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Predictions models with neural nets
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2008 The contribution is oriented to basic problem trends solution of economic pointers, using neural networks. Problems include choice of the suitable model and consequently configuration of neural nets, choice computational function of neurons and the way ...
Vladimír Konečný
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Sigmoid functions for the smooth approximation to the absolute value function
Moroccan Journal of Pure and Applied Analysis, 2021 We present smooth approximations to the absolute value function |x| using sigmoid functions. In particular, x erf(x/μ) is proved to be a better smooth approximation for |x| than x tanh(x/μ) and x2+μ\sqrt {{x^2} + \mu } with respect to accuracy.
Bagul Yogesh J., Chesneau Christophe
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On approximating the error function
Journal of Inequalities and Applications, 2016 In the article, we present the necessary and sufficient condition for the parameter p on the interval ( 7 / 5 , ∞ ) $(7/5, \infty)$ such that the function x → erf ( x ) / B p ( x ) $x\rightarrow\operatorname{erf}(x)/B_{p}(x)$ is strictly increasing ...
Zhen-Hang Yang, Yu-Ming Chu
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Machines, 2023 Friction is one of important factors that cause contouring errors, and the friction error is difficult to predict because of its nonlinearity. In this paper, a prediction model of the friction error of a servo system is proposed based on the Long Short ...
Tao Wang, Dailin Zhang
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
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