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From: arras@icase.edu (Michael Arras)
Newsgroups: comp.ai.neural-nets
Subject: Re: What good are neural nets?
Message-ID: <1990Mar22.201531.8352@icase.edu>
Date: 22 Mar 90 20:15:31 GMT
Sender: arras@icase.edu (Michael Arras)
Organization: ICASE/NASA Langley
Lines: 23


	Here is your example:

	We have shown through computer simulations, that our ANN is better
than conventional systems in correcting word errors during the decoding of
block codes.  Our soft-decision ANN outperforms standard hard-decision
decoding by two orders of magnitude (100) at a SNR of 7dB using a (15,5)
Cyclic Redundany Code.  Our ANN will be implemented in hardware, which will
enable it to be used in real-time with high speed transmission rates.  I am
working on software to be used with the Intel Hypercube here at NASA
Langley that will allow us to investigate performace of larger block codes.
It is my guess that larger codes such as the (31,11) BCH code used with the
ANN will outperform the (2,1)M=6 convolutional code.  The (2,1) convolutional
code is about the best there is (increasing M would give a better performance,
but also increases complexity).

	'High Order Neural Models for Error Correcting Code', C. Jeffries,
P. Protzel has been accepted at SPIE's 1990 Technical Symposim, Orlando, FL.,
which will be held April 16-20.

Mike Arras
Institute for Computer Applications in Science and Engineering
NASA Langely Research Center