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Document Type : Latin Dissertation
Language of Document : English
Record Number : 152615
Doc. No : ET24407
Main Entry : CHANGQING CAI
Title Proper : PERSONAL PREFERENCE PREDICTIONPOMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Prediction is conventionally attempted by applying statistical models modified bypeople's own experience and insight. Neural Network techniques can complementtraditional statistical analysis, and can solve prediction, and forecasting problemsaccurately. quickly. and simply. In this thesis. we focus on personal preference prediction.Our goal is to achieve a better understanding of how to do preference prediction. Theresults can be used in direct marketing. and improved prediction will make marketingmore effective and reduce costs. We hope that the knowledge gained from this thesis canbe applied to other domains as well..
Subject : Electericl tess
: برق
electronic file name : TL48614.pdf
Title and statement of responsibility and : PERSONAL PREFERENCE PREDICTIONPOMPES PAR TRANSITIONS MULTIPLES [Thesis]
 
 
 
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