Difference between revisions of "IEEE Frank Rosenblatt Award"

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== About Award ==
 
== About Award ==
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[[Image:IEEE Frank Rosenblatt Award.jpg|thumb|right]]
  
 
The IEEE Frank Rosenblatt Award was established in 2004.
 
The IEEE Frank Rosenblatt Award was established in 2004.
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The award is named in honor of Frank Rosenblatt, who is widely regarded as one of the founders of neural networks.  Basing his research on study of fly vision, he developed the single-layer input layer and an output layer of neural cells. Frequent presentation of a pattern or patterns resulted in changes in the input to output connections, facilitating future recognition of these patterns, or memory.  His work influenced and even anticipated many modern neural network approaches.
 
The award is named in honor of Frank Rosenblatt, who is widely regarded as one of the founders of neural networks.  Basing his research on study of fly vision, he developed the single-layer input layer and an output layer of neural cells. Frequent presentation of a pattern or patterns resulted in changes in the input to output connections, facilitating future recognition of these patterns, or memory.  His work influenced and even anticipated many modern neural network approaches.
  
Recipient selection is administered through the Technical Field Awards Council of the IEEE Awards Board.
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Recipient selection is administered through the Technical Field Awards Council of the [[IEEE Awards|IEEE Awards Board]].
  
 
== Award Recipients ==
 
== Award Recipients ==
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*[[Michio Sugeno]], 2010
 
*[[Michio Sugeno]], 2010
  
[[Category:IEEE]]
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[[Category:IEEE|Frank]] [[Category:Awards & fellow activities|Frank]]
[[Category:Awards_&_fellow_activities]]
 

Revision as of 19:56, 21 September 2012

About Award

IEEE Frank Rosenblatt Award.jpg

The IEEE Frank Rosenblatt Award was established in 2004.

The award is named in honor of Frank Rosenblatt, who is widely regarded as one of the founders of neural networks. Basing his research on study of fly vision, he developed the single-layer input layer and an output layer of neural cells. Frequent presentation of a pattern or patterns resulted in changes in the input to output connections, facilitating future recognition of these patterns, or memory. His work influenced and even anticipated many modern neural network approaches.

Recipient selection is administered through the Technical Field Awards Council of the IEEE Awards Board.

Award Recipients