Coupling analysis of manufacturing characteristics and mechanics property of microminiature gear mechanism based on neural network

Xin Jin*, Zhijing Zhang, Fuchang Zuo, Zhongxin Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A coupling analysis method of manufacturing characteristics and mechanics property of microminiature gear mechanism based on BP neural network was proposed. By use of the existing finite element model with manufacturing characteristics, output data as BP neural network training set of samples was obtained. Through a comparative study of the effects of different network parameters settings on the precision of network model, the optimal network structure and parameters were determined and the neural network model which can approximate the mechanics property microminiature gear mechanism with high precision. This shows the nonlinear coupling relationships between input manufacturing characteristics and the output mechanical characteristics, and verifies the accuracy of the model.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
Pages929-936
Number of pages8
EditionPART 1
DOIs
Publication statusPublished - 2009
Event6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China
Duration: 26 May 200929 May 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5551 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Neural Networks, ISNN 2009
Country/TerritoryChina
CityWuhan
Period26/05/0929/05/09

Keywords

  • Coupling Analysis
  • Manufacturing Characteristics
  • Mechanics property
  • Microminiature Gear Mechanism
  • Neural Network

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