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 : 151945
Doc. No : ET23737
Main Entry : Anthony Veneros Castro
Title Proper : A NEURAL NETWORK APPROACH TO PREDICT HURRICANE INTENSITY IN THE NORTH ATLANTIC BASIN
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Upper air information and artificial neural networks (ANN) are used to predicthurricane intensity in the North Atlantic basin. Competitive neural network is used toidentify analog storms to the current hurricane. Once the analog hurricanes areidentified the historical NCEP reanalysis data are used along of each storm tracks todevelop a set of climatology, persistence and synoptic variables. Persistence,climatological and synoptic observations of the analog hurricanes and the currentstorm are combined to create a training set which is used to generate nonlineartransformations and an optimization algorithm is used to identify the variables thatare best correlated with storm intensity. The best variables obtained from theoptimization algorithm are used to train a neural network which used Levenberg-Marquardt algorithm as a learning rule. Preliminary results show that the proposed.............-....,....-...,..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 : TL46994.pdf
Title and statement of responsibility and : A NEURAL NETWORK APPROACH TO PREDICT HURRICANE INTENSITY IN THE NORTH ATLANTIC BASIN [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)