نتایج جستجو برای: least square

تعداد نتایج: 499496  

Mohammadi , Nazila, Sedaghat , Amin,

Least square matching (LSM) is one of the most accurate image matching methods in photogrammetry and remote sensing. The main disadvantage of the LSM is its high computational complexity due to large size of observation equations. To address this problem, in this paper a novel method, called fast least square matching (FLSM) is being presented. The main idea of the proposed FLSM is decreasing t...

Journal: :TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol 2019

Journal: :Journal of Mathematical Analysis and Applications 1974

Journal: :Asian Journal of Probability and Statistics 2018

2004

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...

Journal: :The Open Civil Engineering Journal 2015

Journal: :Resonance 2021

Partial least square (PLS) analysis is the most favourite tool in chemometrics to develop calibration models. PLS technique allows us decipher even complex systems by analysing all variables instead of looking at them one a time. not only capture maximum variation associated with predictor (i.e. spectra) and predicted concentration) but also maximises correlation between them. The present artic...

Journal: :Advances in Applied Mathematics 2016

2004

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1391

هرچند که فیلتر ذره ای (particle filter) ابزاری موثر در ردیابی شیء می باشد، اما یکی از محدودیت های موجود، نیاز به وجود مدلی دقیق برای حالت سیستم و مشاهدات است. بنابراین یکی از زمینه های مورد علاقه محققین تخمین تابع مشاهده با توجه به داده های یادگیری است. تابع مشاهده ممکن است خطی یا غیرخطی در نظر گرفته شود. روش های موجود در تخمین تابع مشاهده با مشکلاتی مواجه هستند. از جمله این مشکلات، وابستگی به ...

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