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Synesthetic sensor fusion via a cros...

Seneker, Stephen Samuel.

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Synesthetic sensor fusion via a cross-wired artificial neural network.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Synesthetic sensor fusion via a cross-wired artificial neural network./
作者:	Seneker, Stephen Samuel.
面頁冊數:	104 p.
附註:	Chair: Jeff Knisley.
Contained By:	Masters Abstracts International40-05.
標題:	Artificial Intelligence. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1408237
ISBN:	0493560203

Synesthetic sensor fusion via a cross-wired artificial neural network.
Seneker, Stephen Samuel.

Synesthetic sensor fusion via a cross-wired artificial neural network. - 104 p.

Chair: Jeff Knisley.

Thesis (M.A.L.S.)--East Tennessee State University, 2002.

The purpose of this interdisciplinary study was to examine the behavior of two artificial neural networks cross-wired based on the synesthesia cross-wiring hypothesis. Motivation for the study was derived from the study of psychology, robotics, and artificial neural networks, with perceivable application in the domain of mobile autonomous robotics where sensor fusion is a current research topic. This model of synesthetic sensor fusion does not exhibit synesthetic responses. However, it was observed that cross-wiring two independent networks does not change the functionality of the individual networks but allows the inputs to one network to partially determine the outputs of the other network in some cases. Specifically, there are measurable influences of network A on network B, and yet network B retains its ability to respond independently.

ISBN: 0493560203Subjects--Topical Terms:

769149
Artificial Intelligence.

Synesthetic sensor fusion via a cross-wired artificial neural network.
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520 $a The purpose of this interdisciplinary study was to examine the behavior of two artificial neural networks cross-wired based on the synesthesia cross-wiring hypothesis. Motivation for the study was derived from the study of psychology, robotics, and artificial neural networks, with perceivable application in the domain of mobile autonomous robotics where sensor fusion is a current research topic. This model of synesthetic sensor fusion does not exhibit synesthetic responses. However, it was observed that cross-wiring two independent networks does not change the functionality of the individual networks but allows the inputs to one network to partially determine the outputs of the other network in some cases. Specifically, there are measurable influences of network A on network B, and yet network B retains its ability to respond independently.
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