مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

1,081
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

USING NEURAL NETWORK TO ESTIMATE WEIBULL PARAMETERS

Pages

  11-17

Keywords

Not Registered.

Abstract

 As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated task and sometimes contentious area with several methods vying for recognition. Weibull distribution involves in reliability studies frequently and has many applications in engineering. However estimating the parameters of Weibull distribution is crucial in classical ways. This distribution has three parameters, but for simplicity, a parameter is ridded off and as a result, the estimation of the others will be easily done. When the three-parameter distribution is of interest, the classical estimation procedures such as maximum likelihood estimation (MLE) will be quite boring. In this paper to take advantage of application of artificial neural networks (ANN) to statistics, we propose using a simple neural network to estimate three parameters of Weibull distribution simultaneously. Trained neural network similar to moment method estimates Weibull parameters based on mean, standard deviation, median, skewness and kurtosis of the sample accurately. To assess the power of the proposed method we carry out simulation study and compare the results of the proposed method with real values of the parameters.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    ABASI, BABAK, & AFSHAR NADJAFI, B.. (2008). USING NEURAL NETWORK TO ESTIMATE WEIBULL PARAMETERS. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 1(PRE. NO. 1), 11-17. SID. https://sid.ir/paper/205923/en

    Vancouver: Copy

    ABASI BABAK, AFSHAR NADJAFI B.. USING NEURAL NETWORK TO ESTIMATE WEIBULL PARAMETERS. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2008;1(PRE. NO. 1):11-17. Available from: https://sid.ir/paper/205923/en

    IEEE: Copy

    BABAK ABASI, and B. AFSHAR NADJAFI, “USING NEURAL NETWORK TO ESTIMATE WEIBULL PARAMETERS,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 1, no. PRE. NO. 1, pp. 11–17, 2008, [Online]. Available: https://sid.ir/paper/205923/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top