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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.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Synesthetic sensor fusion via a cross-wired artificial neural network./
Author:	Seneker, Stephen Samuel.
Description:	104 p.
Notes:	Chair: Jeff Knisley.
Contained By:	Masters Abstracts International40-05.
Subject:	Artificial Intelligence. -
Online resource:	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.
LDR:01729nam 2200289 a 45 001 933115
005 20110505
008 110505s2002 eng d
020 $a 0493560203
035 $a (UnM)AAI1408237
035 $a AAI1408237
040 $a UnM $c UnM
100 1 $a Seneker, Stephen Samuel. $3 1256855
245 1 0 $a Synesthetic sensor fusion via a cross-wired artificial neural network.
300 $a 104 p.
500 $a Chair: Jeff Knisley.
500 $a Source: Masters Abstracts International, Volume: 40-05, page: 1308.
502 $a Thesis (M.A.L.S.)--East Tennessee State University, 2002.
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.
590 $a School code: 0069.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Computer Science. $3 626642
650 4 $a Psychology, Experimental. $3 517106
690 $a 0623
690 $a 0800
690 $a 0984
710 2 0 $a East Tennessee State University. $3 1017802
773 0 $t Masters Abstracts International $g 40-05.
790 $a 0069
790 1 0 $a Knisley, Jeff, $e advisor
791 $a M.A.L.S.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1408237