A noise suppression method for superconducting full tensor aeromagnetic gradient measurement data
نویسندگان
چکیده
منابع مشابه
Acoustic Noise Suppression: Gradient Self-Help?
Recently, Tomasi and Ernst introduced a simple string model for understanding the vibrations of MRI gradient coils. [1] We build upon this simple foundation to provide a window into a particular method for active noise cancellation, where the pulse sequences that caused the problem may be designed to solve the problem. Previous work has focused on active and passive shielding to control eddy cu...
متن کاملAn application for removing cultural noise from aeromagnetic data (short note)
INTRODUCTION A high-resolution aeromagnetic survey collected over the North Slope of Alaska by World Geoscience was acquired in response to a need for highly detailed data in an areawhere traditional geophysical techniques are expensive and prohibitive (McConnell, 1995) (Figure 1). These data were recently released to the University of Texas’ Institute for Geophysics and provide a unique opport...
متن کاملNoise Suppression in Training Data for Improving
Multi-layer feedforward neural networks are trained using the error back-propagation(BP) algorithm. This algorithm minimizes the error between outputs of a neural network(NN) and training data. Hence, in the case of noisy training data, a trained network memorizes noisy outputs for given inputs. Such learning is called rote memorization learning(RML). In this paper we propose error correcting m...
متن کاملA conjugate gradient based method for Decision Neural Network training
Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Acta Geologica Sinica - English Edition
سال: 2019
ISSN: 1000-9515,1755-6724
DOI: 10.1111/1755-6724.14136