Published March 1989
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Neural Networks and Dynamic Complex Systems
Abstract
We describe the use of neural networks for optimization and inference associated with a variety of complex systems. We show how a string formalism can be used for parallel computer decomposition, message routing and sequential optimizing compilers. We extend these ideas to a general treatment of spatial assessment and distributed artificial intelligence.
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© 1989 IEEE.Attached Files
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- CaltechAUTHORS:20161024-141032537
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2016-10-24Created from EPrint's datestamp field
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