Predicted technological effect of EDM forecasting based on artificial neural network

Ying Hui Song; Jin Zhi Zhao; Xiao Dong Yang; Wan Sheng Zhao

Predicted technological effect of EDM forecasting based on artificial neural network

Ying Hui Song^*
, Jin Zhi Zhao
, Xiao Dong Yang
, Wan Sheng Zhao

^*Corresponding author for this work

School of Mechatronics Engineering, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Artificial neural network was used to predict the technological effect of EDM and the result shows that this model used for prediction successfully mapped the relationship between machining parameters and machining results. An EDM technological effect prediction model based on artificial neural network was established to utilize the superiority of Internet and explore the possibility of realizing EDM intelligent machining based on Internet.

Original language	English
Pages (from-to)	22-25
Number of pages	4
Journal	Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume	34
Issue number	1
State	Published - Feb 2002
Externally published	Yes

Keywords

ASP
Artificial neural network
EDM (Electrical discharge manufacturing)
Internet

Cite this

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title = "Predicted technological effect of EDM forecasting based on artificial neural network",

abstract = "Artificial neural network was used to predict the technological effect of EDM and the result shows that this model used for prediction successfully mapped the relationship between machining parameters and machining results. An EDM technological effect prediction model based on artificial neural network was established to utilize the superiority of Internet and explore the possibility of realizing EDM intelligent machining based on Internet.",

keywords = "ASP, Artificial neural network, EDM (Electrical discharge manufacturing), Internet",

author = "Song, \{Ying Hui\} and Zhao, \{Jin Zhi\} and Yang, \{Xiao Dong\} and Zhao, \{Wan Sheng\}",

year = "2002",

month = feb,

language = "英语",

volume = "34",

pages = "22--25",

journal = "Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology",

issn = "0367-6234",

publisher = "Harbin Institute of Technology",

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T1 - Predicted technological effect of EDM forecasting based on artificial neural network

AU - Song, Ying Hui

AU - Zhao, Jin Zhi

AU - Yang, Xiao Dong

AU - Zhao, Wan Sheng

PY - 2002/2

Y1 - 2002/2

N2 - Artificial neural network was used to predict the technological effect of EDM and the result shows that this model used for prediction successfully mapped the relationship between machining parameters and machining results. An EDM technological effect prediction model based on artificial neural network was established to utilize the superiority of Internet and explore the possibility of realizing EDM intelligent machining based on Internet.

AB - Artificial neural network was used to predict the technological effect of EDM and the result shows that this model used for prediction successfully mapped the relationship between machining parameters and machining results. An EDM technological effect prediction model based on artificial neural network was established to utilize the superiority of Internet and explore the possibility of realizing EDM intelligent machining based on Internet.

KW - ASP

KW - Artificial neural network

KW - EDM (Electrical discharge manufacturing)

KW - Internet

UR - https://www.scopus.com/pages/publications/0036463363

M3 - 文章

AN - SCOPUS:0036463363

SN - 0367-6234

VL - 34

SP - 22

EP - 25

JO - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

JF - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

IS - 1

ER -

Predicted technological effect of EDM forecasting based on artificial neural network

Abstract

Keywords

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