NEURONET-BASED LIQUEFACTION POTENTIAL ASSESSMENT AMA STRESS-STRAIN BEHAVIOR SIMULATION OF SANDY SOILS

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" NEURONET-BASED LIQUEFACTION POTENTIAL ASSESSMENT AMA STRESS-STRAIN BEHAVIOR SIMULATION OF SANDY SOILS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151603
Doc. No	:	ET23395
Main Entry	:	Hossam Eldin AbdaUab Ali
Title Proper	:	NEURONET-BASED LIQUEFACTION POTENTIAL ASSESSMENT AMA STRESS-STRAIN BEHAVIOR SIMULATION OF SANDY SOILS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Artificial Neural Networks (ANNs) are promising computational techniques capable ofmapping and capturing many features and sub-features embedded in a large set of data thatyield a certain output. A network that has successfhlly captured the governing relationshipsbetween the input and the output can be used as a pndictionlsirnulation tool for cases whenthe output solution is not available. This learning-based technique proved to be an efficientmethodology when dealing with a sufficient amount of data representing a complex structureor phenomenon, especially, when there is a highly nonlinear or complex unrecognizedgoverning relations describing the available data sets. Equally efficient practice is to useANN methodology to handle poorly-defined pattems that have no explicit set of rules......-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46634.pdf
Title and statement of responsibility and	:	NEURONET-BASED LIQUEFACTION POTENTIAL ASSESSMENT AMA STRESS-STRAIN BEHAVIOR SIMULATION OF SANDY SOILS [Thesis]