@inproceedings{d6cd8294625b4c959cb17b52ecbcf811,
title = "Neural network routing for multiple stage interconnection networks",
abstract = "Summary form only given, a follows. A Hopfield model neural network can be useful as a form of parallel computer. Such a neural network may be capable of arriving at a problem solution with much more speed than conventional, sequential approaches. This concept has been applied to the problem of generating control bits for a multistage interconnection network. A Hopfield model neural network has been designed that is capable of routing a set of messages. This neural network solution is especially useful for interconnection networks that are not self-routing and interconnection networks that have an irregular structure. Furthermore, the neural network routing scheme is fault-tolerant. Results were obtained on generating routes in a 4 × 4 Benes interconnection network.",
author = "Goudreau, {Mark W.} and Giles, {C. Lee}",
year = "1992",
language = "English (US)",
isbn = "0780301641",
series = "Proceedings. IJCNN - International Joint Conference on Neural Networks",
publisher = "Publ by IEEE",
pages = "885",
editor = "Anon",
booktitle = "Proceedings. IJCNN - International Joint Conference on Neural Networks",
note = "International Joint Conference on Neural Networks - IJCNN-91-Seattle ; Conference date: 08-07-1991 Through 12-07-1991",
}