Modeling of Reverse Osmosis Plants Using System Identification and Neural Networks

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" Modeling of Reverse Osmosis Plants Using System Identification and Neural Networks "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150409
Doc. No	:	ET22201
Main Entry	:	Anucha Saengrung
Title Proper	:	Modeling of Reverse Osmosis Plants Using System Identification and Neural Networks
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	hlodcling of tuo rcwrsc osrnosts plants at F.-!1. Gurnho Ltmho I'lrc~lity and at thetit! 01 Boca Raton arc ~nvesti~ittcd. System ident~lication as w l l as ilntt~ictal ncuralnctwrks arc uttli~ed to carncd out thc tasks. The data for a s1.x months operational penodof both plants arc utihzed. The prediction error method md subspace mcthod arc utillzud 1 0estlrnutr s ~ c - s p o c c model ir hdc the ciuto rcgrcsslon N tth extra mput I ARSh mdcl iscstimilicd hh using the least square method and rhc approx~matcly optimal k~ur-stage...,..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	:	TL45405.pdf
Title and statement of responsibility and	:	Modeling of Reverse Osmosis Plants Using System Identification and Neural Networks [Thesis]