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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151604
Doc. No : ET23396
Main Entry : Mutaz Jafiu
Title Proper : DESIGN AND IMPLEMENTATION OF INTELLIGENT CONTROL METHODOLOGIES FOR REVERSE OSMOSIS PLANTS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This dissertation presents the design, implementation and application of soft computingmethodologies to Reverse Osmosis (RO) desalination techno logy. A novel intelligentcontrol scheme based on the integration of Neural Network (NN) and Fuzzy Logic (FL)is presented to optimize plants' performance.In the first part of the research work, two optimal NN predictive models, based onbac kpropagation and Radial Basis Function Networks (RBFN), were developed for threetypes of RO feed intakes. The predictive models utilized actual operating data for the.....-....,....-...,..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 : TL46635.pdf
Title and statement of responsibility and : DESIGN AND IMPLEMENTATION OF INTELLIGENT CONTROL METHODOLOGIES FOR REVERSE OSMOSIS PLANTS [Thesis]
 
 
 
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