Synesthetic Sensor Fusion Via A Cross-Wired Artificial Neural Network

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" Synesthetic Sensor Fusion Via A Cross-Wired Artificial Neural Network "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151287
Doc. No	:	ET23079
Main Entry	:	Stephen S. Seneker
Title Proper	:	Synesthetic Sensor Fusion Via A Cross-Wired Artificial Neural Network
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The purpose of this interdisciplinary study was to examine the behavior of two artificial neuralnetworks cross-wired based on the synesthesia cross-wiring hypothesis. Motivation for the studywas derived from the study of psychology, robotics, and artificial neural networks, withperceivable application in the domain of mobile autonomous robotics where sensor fusion is acurrent research topic. This model of synesthetic sensor fusion does not exhibit synestheticresponses. However, it was observed that cross-wiring two independent networks does notchange the functionality of the individual networks but allows the inputs to one network topartially determine the outputs of the other network in some cases. Specifically, there aremeasurable influences of network A on network B, and yet network B retains its ability torespond independently..-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46313.pdf
Title and statement of responsibility and	:	Synesthetic Sensor Fusion Via A Cross-Wired Artificial Neural Network [Thesis]