A modified data-based method for the determination of edge weights in error propagation network

2015 ◽  
Author(s):  
X. Wang ◽  
G.H. Zhou
Keyword(s):  
Error Propagation ◽  
Propagation Network

Instrumental and Procedural Sources of Error in Determination of Bile Pigments in Amniotic Fluid

1972 ◽  
Vol 18 (2) ◽  
pp. 150-154 ◽  
Author(s):  
Robert W Burnett
Keyword(s):  
Amniotic Fluid ◽  
Error Propagation ◽  
Obstet Gynecol ◽  
Bile Pigments ◽  
Linear Estimation ◽  
Sources Of Error ◽  
Significant Bias ◽  
Accuracy And Precision ◽  
Baseline Estimation

Abstract Although the Liley spectrophotometric estimation of bile pigments in amniotic fluid [Amer. J. Obstet. Gynecol. 82, 1359 ( 1961)] is widely used, the levels of accuracy and precision necessary for clinically meaningful results have not been clarified. This paper delineates some of the important instrumental and procedural sources of error, and how each affects the final value of ΔA455: (a) A limit of error propagation is presented to show that the uncertainty in ΔA455 due to instrumental factors is considerably larger than is commonly appreciated. (b) It is desirable to use a logarithmic baseline estimation, as did Liley, instead of a linear estimation, which can introduce a serious bias. (c) Failure to establish a true zero-absorbance baseline before scanning the specimen can also result in a significant bias in the calculated ΔA455.

scholarly journals GMDE: Extracting quantitative information from geologic maps

Geosphere ◽  
2020 ◽  
Vol 16 (6) ◽  
pp. 1495-1507
Author(s):  
Richard W. Allmendinger
Keyword(s):  
Cross Sections ◽  
Error Propagation ◽  
Satellite Images ◽  
Structural Information ◽  
Quantitative Information ◽  
Testing Error ◽  
Geologic Maps ◽  
Microsoft Windows ◽  
Cylindrical Folds

Abstract GMDE is a program, available on the desktop for Apple Macintosh, Microsoft Windows, and Linux platforms and in a mobile version for iOS, that enables geologists to extract quantitative structural information from geologic maps and satellite images. The program facilitates the digitizing of strikes and dips or calculating them from three-point problems, calculation of stratigraphic map thickness, determination of piercing points on faults, and the construction of down-plunge projections and vertical cross sections with projected apparent dips, contacts, and cylindrical folds. The program also enables the automatic plotting of planar contacts across topography based on orientation calculated from three clicked points, which can be carried out in the field for immediate hypothesis testing. Error propagation is built into many of the calculations. Maps and satellite images require no projection or datum information, just four points with known latitude and longitude information. Alternatively, the user can enter the map or image in MBTiles format. Users can easily extract X-Y-Z data for any clicked or calculated point or polygon, enabling them to make their own calculations.

Determining FAC Degradation From NDE Data

2009 ◽  
Author(s):  
Harold M. Crockett ◽  
Jeffrey S. Horowitz
Keyword(s):  
Error Propagation ◽  
Power Plants ◽  
Degradation Mechanism ◽  
Accurate Determination ◽  
Wear Rates ◽  
Flow Acceleration ◽  
Inspection Data ◽  
Evaluation Approaches ◽  
The Impact

Flow-acceleration corrosion (FAC) is a degradation mechanism that impacts carbon steel piping components and equipment under conditions often found in both nuclear and fossil power plants. To deal with this type of degradation, many utilities have instituted inspection programs designed to discover dangerous situations well before failures occur. Inspections to determine FAC damage are normally done using the Ultrasonic Technique (UT) although other methods are also used. For large bore components, the most commonly used inspection approach is gridded UT measurements. Experience has shown that the amount of degradation that typically occurs between inspections is comparable to the uncertainty of the UT measurements. Thus, the accurate determination of the actual wear rates is difficult as the measurement uncertainties tend to cause over-stating the actual degradation. To deal with this problem, EPRI has developed a number of evaluation approaches for interpreting data from one inspection, from two sets of inspections and from more than two sets of inspections. The application of these methods to inspection data will be discussed demonstrating the performance of the different approaches. The impact of the error propagation on the accuracy of these methods and recommendations for different circumstances will be presented.

Quality Diagnosis and Error Compensation Based on Integrated SPC/EPC in MMPs

2011 ◽  
Vol 314-316 ◽  
pp. 415-418
Author(s):  
Jia Feng ◽  
Ping Yu Jiang
Keyword(s):  
Error Compensation ◽  
Error Propagation ◽  
Control Method ◽  
Propagation Model ◽  
Machining Process ◽  
Machining Processes ◽  
Machining Error ◽  
Mapping Model ◽  
Propagation Network ◽  
Quality Diagnosis

In the multistage machining processes (MMPs), SPC is widely utilized to control the quality of machining processes and diagnose the processing error. But there is a defect, that it can not compensate the error when the machining process is abnormal. For this issue, a new method of quality diagnosis and error compensation is proposed based on EPC (engineering process control). A new framework for processes quality diagnosis and error compensation about the description of machining processes and controlling mechanism of machining process quality is proposed first. And the mapping model of machining error propagation is introduced to explore the model of the error compensation decision. From theoretical level, modeling level and solution level, the mapping model from the decision model based on EPC to SPC is studied, in which the key technologies are the machining error propagation model and the error compensation model. Therefore, the machining error propagation network is utilized to build the error propagation model, and an adaptive control method based on the stability theory is introduced to make error coordination optimization.

Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks

2002 ◽  
Vol 14 (8) ◽  
pp. 1907-1927 ◽  
Author(s):  
Alex Aussem
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Error Propagation ◽  
Finite Impulse Response ◽  
Learning Algorithm ◽  
Previous Analysis ◽  
Sufficient Conditions ◽  
Recurrent Networks ◽  
Computational Overhead ◽  
Propagation Network

This article extends previous analysis of the gradient decay to a class of discrete-time fully recurrent networks, called dynamical recurrent neural networks, obtained by modeling synapses as finite impulse response (FIR) filters instead of multiplicative scalars. Using elementary matrix manipulations, we provide an upper bound on the norm of the weight matrix, ensuring that the gradient vector, when propagated in a reverse manner in time through the error-propagation network, decays exponentially to zero. This bound applies to all recurrent FIR architecture proposals, as well as fixed-point recurrent networks, regardless of delay and connectivity. In addition, we show that the computational overhead of the learning algorithm can be reduced drastically by taking advantage of the exponential decay of the gradient.

Determination of cosmogenic 36Cl in rocks by isotope dilution: innovations, validation and error propagation

2006 ◽  
Vol 233 (3-4) ◽  
pp. 185-195 ◽  
Author(s):  
Darin Desilets ◽  
Marek Zreda ◽  
Peter F. Almasi ◽  
David Elmore
Keyword(s):  
Isotope Dilution ◽  
Error Propagation
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