خط مشی دسترسیدرباره ما
ثبت نامثبت نام
راهنماراهنما
فارسی
ورودورود
صفحه اصلیصفحه اصلی
جستجوی مدارک
تمام متن
منابع دیجیتالی
رکورد قبلیرکورد بعدی
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]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)