Kernel density estimation of three-parameter Weibull distribution with neural network and genetic algorithm

DOI10.1016/j.amc.2014.09.065zbMath1338.62110OpenAlexW2043664947MaRDI QIDQ297826

Fan Yang, Zhu-Feng Yue

Publication date: 17 June 2016

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2014.09.065

zbMATH Keywords

genetic algorithmmaximum likelihood methodWeibull distributionneural network modeloptimization algorithmgrey model

Mathematics Subject Classification ID

Density estimation (62G07) Neural networks for/in biological studies, artificial life and related topics (92B20)

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A new approach to fitting the three-parameter Weibull distribution: An application to glass ceramics ⋮ Estimating the parameters of \(3\)-\(p\) Weibull distribution using particle swarm optimization: a comprehensive experimental comparison

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• Least‐squares problems for Michaelis–Menten kinetics
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