Parameters Estimation of Weibull Distribution Based on Fuzzy Data Using Neural Network

Gajendra K Vishwakarma, Chinmoy Paul and Neha Singh
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Gajendra K Vishwakarma: Department of Applied Mathematics, Indian Institute of Technology Dhanbad, India
Chinmoy Paul: Department of Applied Mathematics, Indian Institute of Technology Dhanbad, India
Neha Singh: Department of Applied Mathematics, Indian Institute of Technology Dhanbad, India

Biostatistics and Biometrics Open Access Journal, 2018, vol. 6, issue 5, 126-133

Abstract: In this article, an estimation procedure to estimate the parameters of a two-parameter Weibull distribution has been discussed. The nature of the data is considered as imprecise and is in the form fuzzy numbers. Artificial Neural Network has been used in parameter estimation of Weibull distribution. The network architecture is determined experimentally based on RMSE.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:6:y:2018:i:5:p:126-133

DOI: 10.19080/BBOAJ.2018.06.555696

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