An Algorithm, Based on Extreme Machine Learning, for Modeling Rate of Material Transfer in EDC Process

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Maraki MohamaadReza; Tagimalek Hadi; Azargoman Majid; Karami Ramin

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Journal Paper

Paper Information

Journal: Journal of Technology in Aerospace Engineering Year:2019 | Volume:2 | Issue:3 (10) Page(s): 23-30

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Information Journal Paper

Title

An Algorithm, Based on Extreme Machine Learning, for Modeling Rate of Material Transfer in EDC Process

Author(s)

Maraki MohamaadReza | Tagimalek Hadi | Azargoman Majid | Karami Ramin | Issue Writer Certificate

Keywords

Electro Discharge Coating

Average Layer Thickness

Material Transfer Rate

Extreme learning machine

Abstract

In this paper, Extreme learning machine method is used to model the rate of material transfer as an effective parameter in process speed and surface quality. Using neural network model of Extreme learning machine, the mean squared error (MSE) for the Material Transfer Rate in the learning data is 0. 000, 387 and in the test data is 0. 001, 7. While, the mean error squared for the average reset layer thickness, calculated in the learning data, was 0. 000, 214 and in the test data was 0. 001, 7. The proposed algorithm of Extreme learning machine with experimental results has high accuracy in predicting a process output parameters.

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APA: Copy

Maraki, MohamaadReza, Tagimalek, Hadi, Azargoman, Majid, & Karami, Ramin. (2019). An Algorithm, Based on Extreme Machine Learning, for Modeling Rate of Material Transfer in EDC Process. JOURNAL OF TECHNOLOGY IN AEROSPACE ENGINEERING, 2(3 (10) ), 23-30. SID. https://sid.ir/paper/360179/en

Vancouver: Copy

Maraki MohamaadReza, Tagimalek Hadi, Azargoman Majid, Karami Ramin. An Algorithm, Based on Extreme Machine Learning, for Modeling Rate of Material Transfer in EDC Process. JOURNAL OF TECHNOLOGY IN AEROSPACE ENGINEERING[Internet]. 2019;2(3 (10) ):23-30. Available from: https://sid.ir/paper/360179/en

IEEE: Copy

MohamaadReza Maraki, Hadi Tagimalek, Majid Azargoman, and Ramin Karami, “An Algorithm, Based on Extreme Machine Learning, for Modeling Rate of Material Transfer in EDC Process,” JOURNAL OF TECHNOLOGY IN AEROSPACE ENGINEERING, vol. 2, no. 3 (10) , pp. 23–30, 2019, [Online]. Available: https://sid.ir/paper/360179/en

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