ISSN:
0332-1649
Source:
Emerald Fulltext Archive Database 1994-2005
Topics:
Electrical Engineering, Measurement and Control Technology
,
Mathematics
Notes:
The paper presents a novel method of utilising neural networks for optimisation systems. First, a conventional magnetic circuit model of the device is developed to create a set of sensitivity rules which guide the optimisation. The rules are coded in a knowledge-based neural network. Second, an error network is developed to correct the approximations inherent in the magnetic circuit approach and this combines with the first network to generate realistic outputs. Finally, the error network can be trained on-line with a finite element system. Over time, the network replaces the finite element analysis, thus speeding up the optimisation process.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1108/03321649910274801
Permalink