WEIBULL PARAMETER ESTIMATION USING MACHINE LEARNING WITH RANDOM FOREST METHOD

WEIBULL PARAMETER ESTIMATION USING MACHINE LEARNING WITH RANDOM FOREST METHOD

The aviation industry requires an effective maintenance program to ensure safety and reduce costs associated with aircraft downtime. Reliability analysis using the Weibull distribution enables the estimation of component failure probabilities from time-to-failure (TTF) data, helping to establish saf...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Risya, Prima
التنسيق:	Final Project
اللغة:	Indonesia
الوصول للمادة أونلاين:	https://digilib.itb.ac.id/gdl/view/86554
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

Linear regression parameter estimation methods for the weibull distribution
بواسطة: ZHANG LIFANG
منشور في: (2010)

THE DEVELOPMENT OF APPLICATION TO CALCULATE THE 3 PARAMETERS OF WEIBULL DISTRIBUTION (WEIBULL PARAMETER ESTIMATOR 1.1)
بواسطة: NAUFAL, MOHAMMAD

Markov chain Monte Carlo methods for parameter estimation of the modified Weibull distribution
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منشور في: (2014)

Robust regression using probability plots for estimating the Weibull shape parameter
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منشور في: (2014)

On weighted least squares estimation for parameters of the two-parameter weibull distribution
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منشور في: (2014)

A VALIDATION STUDY OF ESTIMATION METHODS FOR THREE PARAMETERS WEIBULL DISTRIBUTION BASED ON REAL AND HYPOTHETICAL DATA
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ESTIMASI PARAMETER DISTRIBUSI WEIBULL
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منشور في: (2004)

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منشور في: (2003)

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منشور في: (2007)

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منشور في: (2014)

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ANALYSIS OF CASHLESS SOCIETY STATUS OF A COUNTRY BY USING THE RANDOM FOREST CLASSIFIER METHOD ON MACHINE LEARNING
بواسطة: Zahrotun Nihayah, Fajris

Bias correction for the least squares estimator of Weibull shape parameter with complete and censored data
بواسطة: Zhang, L.F., وآخرون
منشور في: (2014)

OXIDATION RATE PREDICTION OF MO-SI-B ALLOY USING MACHINE LEARNING WITH RANDOM FOREST REGRESSOR METHOD
بواسطة: Yuliasari, Adisya

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منشور في: (2018)

ESTIMATOR PARAMETER SKALA DISTRIBUSI WEIBULL TERHADAP SAMPEL TERSENSOR TIPE II DENGAN METODE BAYES
بواسطة: Asih Nurwahyuningsari, 089911974
منشور في: (2003)

Bias-correction for Weibull Common Shape Estimation
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منشور في: (2015)

Content-insensitive blind image blurriness assessment using Weibull statistics and sparse extreme learning machine
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منشور في: (2021)

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بواسطة: Li, Xinwei
منشور في: (2025)

Calibration of Weibull parameters using the conventional mechanism-based strain gradient plasticity
بواسطة: Qian, X., وآخرون
منشور في: (2014)

PEMBANDINGAN METODE ESTIMASI TIGA PARAMETER PADA DISTRIBUSI WEIBULL
بواسطة: Adji Fitrian Putri, Yasfiana

APPLICATION OF SOCIOPHYSICS CONCEPT IN ELECTRONIC BOOK RECOMMENDATION SYSTEM USING MACHINE LEARNING METHODS K-NEAREST NEIGHBOR (KNN) AND RANDOM FOREST
بواسطة: Lathifah, Amanda

More on the Mis-Specification of the Shape Parameter with Weibull-to-Exponential Transformation
بواسطة: Xie, M., وآخرون
منشور في: (2000)

More on the MIS-specification of the shape parameter with Weibull-to-exponential transformation
بواسطة: Xie, M., وآخرون
منشور في: (2014)

AIRCRAFT PARAMETER ESTIMATION USING DEEP LEARNING AND DELTA METHOD
بواسطة: Rahmani Mumtaazah, Amelia

Some normal approximations for renewal function of large Weibull shape parameter
بواسطة: Cui, L., وآخرون
منشور في: (2014)

Development and applications of a three-parameter Weibull distribution with load-dependent location and scale parameters
بواسطة: Sun, Y.S., وآخرون
منشور في: (2014)

IDENTIFICATION OF RICE FIELDS USING THE RANDOM FOREST METHOD BASE ON SPECTRAL AND PHYSICAL PARAMETERS (CASE STUDY: BANDUNG REGENCY)
بواسطة: Sutia Rahayu, Jania

Predicting metabolic syndrome using the random forest method
بواسطة: Apilak Worachartcheewan, وآخرون
منشور في: (2018)

Predicting Metabolic Syndrome Using the Random Forest Method
بواسطة: Apilak Worachartcheewan, وآخرون
منشور في: (2015)

WEIBULL ANALYSIS OF TWO PARAMETERS IN BAMBOO WASTE AND MECHANICAL PROPERTIES OF STRAIGHT FIBER
بواسطة: Fadilla Rachmanto, Kun

COMPARISON OF USE OF RANDOM FOREST ALGORITHM AND SUPPORT VECTOR MACHINE FOR GENDER CLASSIFICATION
بواسطة: Ashabul Kahfi, Muhammad

Application of extreme learning machine techniques in traffic network parameter estimation
بواسطة: Sng, Darrel Jia Hong
منشور في: (2016)

Weibull distributions
بواسطة: Lai, C.D., وآخرون
منشور في: (2014)

IDENTIFICATION AND CLASSIFICATION OF BANANA RIPENESS STAGE BASED ON COLOR SPACE PARAMETERS USING SUPPORT VECTOR MACHINE, DECISION TREE, DAN RANDOM FOREST CLASSIFIER
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CLASSIFICATION OF WHITE DWARF SUBCLASSES USING THE RANDOM FOREST METHOD
بواسطة: Dian Islamiati, Anneke

Meta random forest : random forest with simple random forest as base model
بواسطة: Kurniawan, Billy
منشور في: (2020)

Simple Inference Methods Based on Weibull to Exponential Transformation
بواسطة: YANG, Zhenlin
منشور في: (2001)

LIVESTOCK WEIGHT ESTIMATION USING MACHINE LEARNING TECHNIQUES AND REGRESSION METHODS
بواسطة: Satyanuraga, Dandu

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