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Multicomputer-based neural networks for imaging in random media

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4 Author(s)
Schlereth, F.H. ; Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA ; Fossaceca, J.M. ; Keckler, A.D. ; Barbour, R.L.

The authors describe a novel technique for imaging in random media using a neural network approach based on a modified backpropagation algorithm. Simulation results indicate that it is possible to produce images of simple structures in 2-D media with a reasonable computation time. The present approach is computation-intensive and for this reason the authors have developed a machine architecture and a machine, Kilonode, which is well suited to this class of computing problems, and which can ultimately be produced at a cost which is suitable for commercial application of the neural network algorithms.<>

Published in:

Nuclear Science Symposium and Medical Imaging Conference, 1991., Conference Record of the 1991 IEEE

Date of Conference:

2-9 Nov. 1991