Advanced statistical learning method for multi-physics NDT-NDE

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Session 3A4 Microwave Imaging for NDE/NDT Applications

In this paper, a neural network approach is applied to a typical electromagnetic diagnostic problemconsisting in the prediction of the electromagnetic field absorption inside a dielectric phantom. The approachhas been tested by considering, at the input of the neural network, the values of the incident electric field ata fixed number of locations. Also phaseless measures have been t...

متن کامل

Learning algorithms for perceptrons from statistical physics

Learning algorithms for perceptrons are deduced from statistical mechanics. Thermodynamical quantities are used as cost functions which may be extremal12ed by gradient dynamics to find the synaptic efficacies that store the learning set of patterns. The learning rules so obtained are classified in two categories, following the statistics used to derive the cost functions, namely, Bolt2mann stat...

متن کامل

An Advanced Approach for Pointwise Nde Imaging

Nondestructive evaluation (NDE) techniques are widely used in manufacturing and service industries for quality assurance and related applications [1]. Depending on the sophistication of a given NDE procedure, the inspection result can be in a form of a simple go/no-go indication, an amplitude readout, a list or a table of measurements, a twodimensional figure, or an image which correlates test ...

متن کامل

A Multi-Physics Simulation Model Based on Finite Element Method for the Multi-Layer Switched Reluctance Motor

Using ANSYS finite element (FE) package, a multi-physics simulation model based on finite element method (FEM) is introduced for the multi-layer switched reluctance motor (SRM) in the present paper. The simulation model is created totally in ANSYS parametric design language (APDL) as a parametric model usable for various conventional types of this motor and it is included electromagnetic, therm...

متن کامل

Semi-Supervised Learning -- A Statistical Physics Approach

We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the points by minimizing a certain energy function, which corresponds to a minimal k-way cut solution. In contrast to these methods, we estimate the distribution of classifications, instead of the sole minimal k-way cut, which ...

متن کامل

ذخیره 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: Journal of Physics: Conference Series

سال: 2018

ISSN: 1742-6588,1742-6596

DOI: 10.1088/1742-6596/1131/1/012012