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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149458
Doc. No : ET21250
Main Entry : Anthony Matthew Filippi
Title Proper : CYBERNETIC GROUP METHOD OF DATA HANDLING (GMDH) STATISTICAL LEARNING FOR HYPERSPECTRAL REMOTE SENSING INVERSE PROBLEMS INCOASTAL OCEAN OPTICS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : For complex systems, sufficient a priori knowledge is often lacking about themathematical or empirical relationship between cause and effect or between inputs andoutputs of a given system. Automated machine learning may offer a useful solution insuch cases. Coastal marine optical environments represent such a case, as the opticalremote sensing inverse problem remains largely unsolved. A self-organizing, cyberneticmathematical modeling approach known as the group method of data handling (GMDH),a type of statistical learning network (SLN), was used to generate explicit spectral.
Subject : Electericl tess
: برق
electronic file name : TL44405.pdf
Title and statement of responsibility and : CYBERNETIC GROUP METHOD OF DATA HANDLING (GMDH) STATISTICAL LEARNING FOR HYPERSPECTRAL REMOTE SENSING INVERSE PROBLEMS INCOASTAL OCEAN OPTICS [Thesis]
 
 
 
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