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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151497
Doc. No : ET23289
Main Entry : JOHN C. MOULTON
Title Proper : SNO: A model of simple neural organisms
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The SNO project was to develop a flexi'bk exploratory tool that could be used to look atseveral evolutionary and leamiag processcs. It could be adapted to study many otherprocesses It operates at a very low kvel of complexity compared to real Life (as do all A1and rU, computer simulations) a d therefore the word intelligence will have connotationsthat are well outside the scope of the model. However, artificial neural net based systemsand genetic algorithms that use or pdorm pattern recognition are very likely the bask ofmany higher level systems that can be clearly categotized as intelligent. Perhaps the termadaptive behavior would be less controversial but it would also be less descriptive of thistype of learning process. The model is used to investigate the growth of patternrecognition, a significant aspect of intelligence, in an artificial mural network. The typicalevaluation method for neural networks is to apply a calculation based on error h m aknown standard to select the best network. Networks....-....,....-...,..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 : TL46526.pdf
Title and statement of responsibility and : SNO: A model of simple neural organisms [Thesis]
 
 
 
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