The novel characteristics for training Ridge Polynomial neural network based on Lagrange multiplier

Deng, Fei; Shen, Shikai; He, Jiang; Yue, Weihao; Qian, Kaiguo; Miao, Xisong; Xu, Ping; Wang, Min

doi:10.1016/j.aej.2022.07.017

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For Prediction Model Development Advanced Neural Network Suc...1

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2023

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“…Neural Networks is a self organizing network, which can be used for developing prediction models [17]. It consists of dynamic layers.…”

Section: For Prediction Model Development Advanced Neural Network Suc...mentioning

confidence: 99%

Predicting the overall equipment efficiency of core drill rigs in mining using ANN and improving it using MCDM

Balakrishnan¹,

Ilangkumaran²,

Sankaran³

2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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In this manuscript, an attempt has been made to predict and improve the overall equipment effectiveness of core drill rigs. A combined Box–Jenkins and artificial neural network model was used to develop a three parameter model (drill pushing pressure, drill penetration rate & average pillar drill pit cycle time) for predicting effectiveness. the overall equipment efficiency of core drill rigs. The values of mean average percentage error, root mean square error, normalized root mean square error, men bias error, normalized mean biased error and coefficient of determination values were found to be 9.462%, 17.378%, 0.194, 0.96%, 0.0014 and 0.923. Empirical relationships were developed between the input and output parameters and its effectiveness were evaluated using analysis of variance. For attaining 74.9% effectiveness, the optimized values of pushing pressure, penetration rate and average pillar drill pit cycle time were predicted to be 101.7 bar, 0.94 m/min and 272 min, which was validated. Interactions, perturbations and sensitivity analysis were conducted.

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“…Neural Networks is a self organizing network, which can be used for developing prediction models [17]. It consists of dynamic layers.…”

Section: For Prediction Model Development Advanced Neural Network Suc...mentioning

confidence: 99%

Predicting the overall equipment efficiency of core drill rigs in mining using ANN and improving it using MCDM

Balakrishnan¹,

Ilangkumaran²,

Sankaran³

2023

Eksploatacja i Niezawodność – Maintenance and Reliability

View full text Add to dashboard Cite

show abstract

The novel characteristics for training Ridge Polynomial neural network based on Lagrange multiplier

Cited by 1 publication

References 34 publications

Predicting the overall equipment efficiency of core drill rigs in mining using ANN and improving it using MCDM

Predicting the overall equipment efficiency of core drill rigs in mining using ANN and improving it using MCDM

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