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 : 151222
Doc. No : ET23014
Main Entry : Hiram A. Firpi Cruz
Title Proper : GENETICALLY FOUND, NEURALLY COMPUTED ARTIFICIAL FEATUHES WITH APPLICATIONS TO EPILEPTIC SEIZURE DETECTION AND PREDICTION
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This work presents the development of a new algorithm called Genetically Found,Neurally Computed (GFNC) features. The algorithm employs a genetic algorithm, aneural network. and a classifier in order to create the analytical expression of an artificialfeature, starting from raw features (original features given prior to the experiment), thathelp a classifier in its discrimination task. The algorithm was first tested on a problem ofdeciding whether two random vectors were parallel or not. Then, the algorithm wasapplied to the problem of epileptic seizure prediction and detection. Epileptic seizureprediction is a very complex problem since to date, seizures that characterize this disorderoccur suddenly without warning. Several-....,....-...,..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 : TL46243.pdf
Title and statement of responsibility and : GENETICALLY FOUND, NEURALLY COMPUTED ARTIFICIAL FEATUHES WITH APPLICATIONS TO EPILEPTIC SEIZURE DETECTION AND PREDICTION [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)