Research of Compensate Fuzzy Nerve Net Control on Stainless Steel Grind Coefficient of Assembly Technology

DOI

10.2991/icmea-17.2018.40How to use a DOI?

Keywords

assembly technology; compensate fuzzy nerve net control; stainless steel; grind coefficient

Abstract

It is proposed the evaluation theory of inverse analysis arithmetic, and it is introduced the evaluated equation on compensate fuzzy control by stainless steel, the affecting gene model of stainless steel on compensate fuzzy control is built. The application of installation process is introduced. The goal specimen is combined with the special predict results of affecting gene. The result is proved that subdued stress of inverse analysis attained is treated as true subdued stress, it is obtained the accuracy prediction of grind coefficient of ring constringent test on inverse analysis.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhanjun Liu
PY  - 2018/02
DA  - 2018/02
TI  - Research of Compensate Fuzzy Nerve Net Control on Stainless Steel Grind Coefficient of Assembly Technology
BT  - Proceedings of the 4th Annual International Conference on Material Engineering and Application (ICMEA 2017)
PB  - Atlantis Press
SP  - 174
EP  - 177
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmea-17.2018.40
DO  - 10.2991/icmea-17.2018.40
ID  - Liu2018/02
ER  -