TY - GEN
T1 - New high performance materials applied to electrical engineering computation software package and its applications
AU - Hou, Shuping
AU - Yang, Qingxin
AU - Chen, Haiyan
AU - Yan, Rongge
AU - Yang, Wenrong
AU - Li, Jianwei
PY - 2008
Y1 - 2008
N2 - Computation software package realizes modularity design of modeling for new high performance materials applied to electrical engineering for the first time. Using fuzzy neural networks control (FNNC), the assumption of self-learning function is realized. This software package provides theoretical basis and device performance simulation methods for these materials application. In this paper, taking accelerometer based on magnetorhelogocal fluid (MRF) as an example, simulation is made by computation software package for new high performance materials applied to electrical engineering. And from the results, a conclusion can be made that it is feasible and provide reference assistance for MRF used in accelerometer.
AB - Computation software package realizes modularity design of modeling for new high performance materials applied to electrical engineering for the first time. Using fuzzy neural networks control (FNNC), the assumption of self-learning function is realized. This software package provides theoretical basis and device performance simulation methods for these materials application. In this paper, taking accelerometer based on magnetorhelogocal fluid (MRF) as an example, simulation is made by computation software package for new high performance materials applied to electrical engineering. And from the results, a conclusion can be made that it is feasible and provide reference assistance for MRF used in accelerometer.
UR - https://www.scopus.com/pages/publications/77950818329
M3 - 会议稿件
AN - SCOPUS:77950818329
SN - 9781889335384
T3 - 2008 World Automation Congress, WAC 2008
BT - 2008 World Automation Congress, WAC 2008
T2 - 2008 World Automation Congress, WAC 2008
Y2 - 28 September 2008 through 2 October 2008
ER -