Synesthetic Sensor Fusion via a Cross-Wired Artificial Neural Network.

<p>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.</p>

Name thesis:degree_name

MALS (Master of Arts in Liberal Studies)

Level thesis:degree_level

Thesis - unrestricted

Discipline thesis:degree_discipline

Liberal Studies

Year dc:date.issued

2002

Author dc:creator

• Seneker, Stephen Samuel

• Neural Networks
• Robotics
• Sensor Fusion
• Synesthesia
• Education
• Liberal Studies

Statement dc:rights

• Copyright by the authors.

Repository record dc:identifier

https://dc.etsu.edu/etd/673

OAI identifier oai:identifier

oai:dc.etsu.edu:etd-1830