A comparison of MRI magnet design using a Hopfield network and the optimized material distribution method

Two approaches to device design, the Hopfield network and optimized material distribution (OMD), are compared. The comparison is based on a previously published MRI dipole magnet design problem. Since this problem is already formulated as a material distribution problem, the results focus on the opt...

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Bibliographic Details
Published in:IEEE transactions on magnetics 1998-09, Vol.34 (5), p.2885-2888
Main Authors: Lowther, D.A., Mai, W., Dyck, D.N.
Format: Article
Language:English
Subjects:
Applied sciences
Boundary conditions
Coils
Design optimization
Electrical engineering. Electrical power engineering
Electromagnets
Exact sciences and technology
Hopfield neural networks
Magnetic materials
Magnetic resonance imaging
Neurons
Optimization methods
Simulated annealing
Testing
Various equipment and components
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Summary:Two approaches to device design, the Hopfield network and optimized material distribution (OMD), are compared. The comparison is based on a previously published MRI dipole magnet design problem. Since this problem is already formulated as a material distribution problem, the results focus on the optimization procedures used in the two methods, i.e. the learning algorithm of the Hopfield network versus the conjugate gradient algorithm used in OMD. Results of the two methods are presented, and are also compared to a previously published simulated annealing solution.
ISSN:0018-9464
1941-0069
DOI:10.1109/20.717672