Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 33 for “"error function"”.
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Method for Evaluating Changing Blood Perfusion
… The thesis critically examines conventional error function solutions used in steady state or gradually changing blood flow scenarios, revealing their shortcomings in accurately reflecting more rapid changes in blood perfusion. To address this limitation, this study introduces a novel …
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Methods for real-time actuator-sensor-failure and structural damage detection
… interaction matrix formulation, leading to one error function for each actuator. The existence of interaction matrix is extended to eliminate the state and the unexamined inputs from the error function. For measurement noise free case, the error function will have non-zero values when the …
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Development of self-adaptive back propagation and derivative free training algorithms in artificial neural networks
… according to the convergence behavior of the error function. This approach trains an ANN when the gradient information of the corresponding error function is not readily available. The self- adaptive variable learning rates per epoch are determined dynamically using a constrained interpolation …
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Evaluation of Millimetre-wave Coherent Scattering from a Sea surface covered by Foam modelled as Sequences of Thin Phase-Scattering Screens using Split-Step Fourier Method
… transformed to normal variate by computing the error function, complementary error function and cumulative error function. The probability density function (PDF) of the inverse error function was obtained by Newton’s method. We estimated the BSD and bubble radii by assuming a geometric mean μg = …
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Nickel-based superalloy operating temperature determination via analysis of gamma/gamma' microstructure and coating/base material interdiffusion
… and the base material was modeled with an error function solution to Fick's Second Law. This method provided an estimation of the operating temperature that varied from the reported operating temperature by only 1%.
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A study of cluster analysis techniques and their applications
… of the data and pattern recognition discriminant function. The technique also results in distances frequency distribution that might be useful in detecting clustering in the data or for the estimation of parameters useful in the discrimination between the different populations in the data. The …
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Application of non-uniform sampling techniques to digital filter synthesis
… technique in the synthesis. An analysis of the error function which measures the goodness in approximating a desired frequency response will also be undertaken. An algorithm which determines the optimal parameters.for a high pass filter will be developed and used to synthesize the particular …
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Time Series Analysis and Indicators of Economic Activity (Forecasting)
… and minimizing the variance of forecast error function for several steps ahead forecasting.
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Physics-Based Compact Model Development of Field Emitter Arrays
… distribution to a Gaussian distribution. The error function is used to calculate the integral of the Gaussian distribution, representing the normalized current density of the output characteristics. The error function is parametrized to predict the experimental I-V behavior in the separate …
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The response of a point source in a liquid layer overlying a liquid half space
… overlying a liquid half space is computed as a function of frequency. Included are the contributions form all normal modes that occur, and the branch-line integral representing the refraction arrival. The value of the refraction arrival is given in terms of the complex error function. The effect …
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QT variability calculation using a template matching algorithm and power spectral analysis
… tool in investigating autonomic nervous system function. Traditionally, the R to R interval has been the thrust of research conducted in this field. QT variability is another topic on which little research has been done. This thesis uses an algorithm proposed by Dr. Berger, published in 2003. …
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Characterization of boundary conditions for wedge-lock-mounted printed circuit boards
… stiffnesses will be optimized to minimize an error function involving the difference between the empirical and analytically predicted natural frequencies.
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Fast superresolution based on a network structure trained using sparse coding
… vector. This sparse representation minimizes the error energy function that includes the square of the L2 norm and a regularization term containing the L1 norm of the sparse vector. This sets up a regularized least squares solution. The L1 norm is preferred because it promotes the sparseness of …
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Improving Neural Network Classification Training
… is to provide problem representations and error functions that more directly improve classification accuracy than conventional learning and error functions. The CB1 algorithm attempts to maximize classification accuracy by selectively backpropagating error only on misclassified training …
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Development of Methodologies for the Noninvasive Estimation of Blood Perfusion
… gradient based system minimizes a sum of squares error function based on either or both heat flux and temperature. This system is tested on human forearms and in controlled flow rate experiments using tissue phantoms. Blood perfusion estimates from the controlled experiments are positively …
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Chloride Penetration Resistance and link to Service Life Design of Virginia Bridge Decks
… reinforcing steel. This thesis showed that the error function solution underestimates chloride ingress. The life cycle cost analysis of plain and corrosion resistant reinforcing steels show that overestimation of service life leads to underestimation of life cycle costs.
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Finite Element Model Updating for Rotary Machinery
… made it possible to obtain frequency response functions (FRF). The frequency response functions were curvefitted in order to obtain the mode shapes and natural frequencies.</p> <p>Mathematical models have been created with ABAQUS and Matlab. For the Matlab Model the assumption has been made …
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On the Growth Rate of Turbulent Mixing Layers: A New Parametric Model
… incompressible growth rate were derived from the error function velocity profile, and a function for a compressibility factor was generalized from existing theory on the convective Mach number. The compressible model is supported by a detailed evaluation of the currently accepted models and …
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Rss Based Localization In A Rayleigh Fading Environment
… in sensor agent localization accuracy as a function of the number of multipath components that can be resolved. We assume that a known number sensor agents are located at unknown coordinates within a rectangular grid having anchors at the corner locations, whose locations are known. Further, …
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An improvement of back propagation algorithm using halley third order optimisation method for classification problems
… problems which commonly available for any functional induction that provides a computationally efficient method. This algorithm utilises first order optimisation method namely Gradient Descent (GD) method which attempts to minimise the error of network. Nevertheless, some major issues need …
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