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" A STUDY OF NEURAL NETWORKS AND MULTIPLE NEURAL NETWORKS IN MAKING SHORT-TERM AND LONG-TERM TIME-SERIES PREDICTION OF PETROLEUM PRODUCTION AND GAS CONSUMPTIONPOMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 153297
Doc. No : ET25089
Main Entry : Hanh Hong Nguyen
Title Proper : A STUDY OF NEURAL NETWORKS AND MULTIPLE NEURAL NETWORKS IN MAKING SHORT-TERM AND LONG-TERM TIME-SERIES PREDICTION OF PETROLEUM PRODUCTION AND GAS CONSUMPTIONPOMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The task of modeling data is difficult when the data of some variables are unavailableeither totally or partially during the examined time span. Lacking the data, it is at timesimpossible to model causal relationships between those variables and the variable to beforecasted. In such a case, a possible solution is to use univariate time series modeling.
Subject : Electericl tess
: برق
electronic file name : TL49306.pdf
Title and statement of responsibility and : A STUDY OF NEURAL NETWORKS AND MULTIPLE NEURAL NETWORKS IN MAKING SHORT-TERM AND LONG-TERM TIME-SERIES PREDICTION OF PETROLEUM PRODUCTION AND GAS CONSUMPTIONPOMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL49306.pdf
TL49306.pdf
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