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Author(s): | DARPA Neural Network Study (U.S.) | |||
Collection: | ||||
Publisher: | Afcea Intl Pr | |||
Year: | 1988 | |||
Language: | English | |||
Pages: | 87 pages | |||
Size: | 367 KB | |||
Extension: | ||||
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[content title="Description"]This report is intended to help the reader understand what Artificial Neural Networks are, how to use them, and where they are currently being used. Artificial Neural Networks are being touted as the wave of the future in computing. They are indeed self learning mechanisms which don't require the traditional skills of a programmer. But unfortunately, misconceptions have arisen. Writers have hyped that these neuron-inspired processors can do almost anything. These exaggerations have created disappointments for some potential users who have tried, and failed, to solve their problems with neural networks. These application builders have often come to the conclusion that neural nets are complicated and confusing. [/content]
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[content title="About the author"]DARPA (1987-1988) Neural Network Study (U.S.). Published by AFCEA International Press, a Division of the Armed Forces Communications and Electronics Association 4406 Fair Lakes Court Fairfax Virginia 22033-3899 USA.
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