Effects of Artificial Neural Networks Characterization on Prediction of Diesel Engine Emissions

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" Effects of Artificial Neural Networks Characterization on Prediction of Diesel Engine Emissions "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150527
Doc. No	:	ET22319
Main Entry	:	Azadeh Tehranian
Title Proper	:	Effects of Artificial Neural Networks Characterization on Prediction of Diesel Engine Emissions
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	More than a century after its invention, diesel remains the fuel of choice for buses and freight trucks. Diesel exhaust contains three gases that are regulated by the United States Environmental Protection Agency (EPA), as well as particulate matter (PM). There is a societal need both to lower emissions and to predict or model emissions more accurately for inventory purposes. Engine modeling, and real time control are the most indispensable steps towards lowering engine emissions, and it is argued that this modeling can be achieved by implementation of Artificial Neural Networks (ANN). Effects of ANN design, architecture, and learning parameters on the accuracy of emissions predictions were studied along-...,..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	:	TL45525.pdf
Title and statement of responsibility and	:	Effects of Artificial Neural Networks Characterization on Prediction of Diesel Engine Emissions [Thesis]