DocumentCode
1699371
Title
New high performance materials applied to electrical engineering computation software package and its applications
Author
Hou, Shuping ; Yang, Qingxin ; Chen, Haiyan ; Yan, Rongge ; Yang, Wenrong ; Li, Jianwei
fYear
2008
Firstpage
1
Lastpage
5
Abstract
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.
Keywords
electrical engineering computing; fuzzy neural nets; neurocontrollers; software packages; electrical engineering computation software package; fuzzy neural networks control; high performance materials; magnetorhelogocal fluid; self-learning function; Accelerometers; Application software; Computational modeling; Electrical engineering; Electrical engineering computing; Fuzzy control; Fuzzy neural networks; High performance computing; Magnetic materials; Software packages;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2008. WAC 2008. World
Conference_Location
Hawaii, HI
Print_ISBN
978-1-889335-38-4
Electronic_ISBN
978-1-889335-37-7
Type
conf
Filename
4699163
Link To Document