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" COMPARATM STUDY ON USING ARTIFICLAL NEURAL NETWORKS FOR TEXT CATEGORIZATIONPOMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 152775
Doc. No : ET24567
Main Entry : ABID MUSLIM MALIK
Title Proper : COMPARATM STUDY ON USING ARTIFICLAL NEURAL NETWORKS FOR TEXT CATEGORIZATIONPOMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This research provides a comparative study on using Artificial Neural Networksfor text categorization In a text categorization model using an artificial neural network asa classifier, performance can be an issue if the neural network is trained using the rawfeature space since textural data has a very high dimension feature space. We have used.
Subject : Electericl tess
: برق
electronic file name : TL48775.pdf
Title and statement of responsibility and : COMPARATM STUDY ON USING ARTIFICLAL NEURAL NETWORKS FOR TEXT CATEGORIZATIONPOMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL48775.pdf
TL48775.pdf
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