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 : 150665
Doc. No : ET22457
Main Entry : Chih-Chung Yang
Title Proper : LANDMINE DETECTION AND CLASSIFICATION THROUGH HYBRID NEURAL NETWORKS AND FUZZY SET
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Unlike conventional weapons, the buried landmine, if not removed, remains athreat. The clearance of anti-personnel landmine has become an important issue inmilitary, economic, and especially humanitarian concerns worldwide. Traditionally, thelandmine clearance is conducted by human expert or animal. With the advance oftechnology, various detection and classification strategies and sensors have been proposedto provide better solutions. The research conducted in the areas of landmine detectionis voluminous. This work seeks to focus on improving the detection and classification oflandmine by applying neural networks and fuzzy set theory.....-...,..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 : TL45676.pdf
Title and statement of responsibility and : LANDMINE DETECTION AND CLASSIFICATION THROUGH HYBRID NEURAL NETWORKS AND FUZZY SET [Thesis]
 
 
 
(در صورت عدم وضوح تصویر اینجا را کلیک نمایید)