CYBERNETIC GROUP METHOD OF DATA HANDLING (GMDH) STATISTICAL LEARNING FOR HYPERSPECTRAL REMOTE SENSING INVERSE PROBLEMS INCOASTAL OCEAN OPTICS

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" CYBERNETIC GROUP METHOD OF DATA HANDLING (GMDH) STATISTICAL LEARNING FOR HYPERSPECTRAL REMOTE SENSING INVERSE PROBLEMS INCOASTAL OCEAN OPTICS "

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]