The Inverse Solution to Eigenvalue Problem of Milling Machine Spindle based on Neural Network-Optimization Design

DOI

10.2991/mems.2012.68How to use a DOI?

Keywords

Neural network-optimization design; milling machine spindle; eigenvalue; inverse problem solution

Abstract

The design of milling machine spindle with respect to dynamic properties can be classified as the solution to inverse eigenvalue problem. In the paper, the solution to the inverse eigenvalue problem based on artificial neural network is studied, the research results show that the direct inverse model of ANN can not derive correct results while the optimization means based on artificial neural network is an effective one of solving inverse eigenvalue problem.

Copyright

© 2012, 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  - SHAO Hongyan
PY  - 2012/12
DA  - 2012/12
TI  - The Inverse Solution to Eigenvalue Problem of Milling Machine Spindle based on Neural Network-Optimization Design
BT  - Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)
PB  - Atlantis Press
SP  - 251
EP  - 254
SN  - 1951-6851
UR  - https://doi.org/10.2991/mems.2012.68
DO  - 10.2991/mems.2012.68
ID  - Hongyan2012/12
ER  -