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.
Results
Showing 1 to 20 of 9513 for “"Parameter"”.
-
Parameter identification and control of distributed-parameter systems
… for the control implementation of distributed-parameter systems are presented. The methods are designed to identify and control the actual distributed system, without resorting to discretization. They are implemented using discrete sensors and actuators. The identification process is carried …
-
Adaptive parameter servers
… in distributed training is to synchronize model parameters among cluster nodes and to do so efficiently. Parameter servers (PSs) facilitate the implementation of distributed training by providing cluster-wide read and write access to the parameters, and transparently handling partitioning and …
-
Precision Cosmological Parameter Estimation
… the computationally intensive pieces of the parameter estimation framework to a parallel training step. We then provide a machine learning code that uses this training set to learn the relationship between the underlying cosmological parameters and the function we wish to compute. This code …
-
Automated MOSFET parameter extraction
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
-
Distributed-parameter vibration control of a cantilever beam using a distributed-parameter actuator
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1984.
-
Parameter Estimation In Linear Regression
… estimation technique to estimate a model's parameters. This research investigated, from a user's perspective, the ability of linear regression to estimate the parameters' confidence intervals at the usual 95% level for medium sized data sets. A controlled environment using simulation with …
-
Elliptic problems with small parameter
… value problem in partial derivatives. A small parameter enters the coefficients of the main equation as well as into the boundary conditions. Such equations have already been investigated satisfactory, but there still exist certain theoretical deficiencies. Our aim is to present the general …
-
Distributed parameter RC network analysis
… analyzing uniform and tapered distribute [sic] parameter RC networks are reviewed and correlated in this dissertation. Multilayer networks and simple three layer networks are considered. Analogies between two-wire transmission line theory and multilayer distributed network theory are developed, …
-
State Variable and Parameter Estimation
… covariance of ‘fictitious inputs' and uses these parameters to compensate for the model errors. The results show the application of the above topics to some simple linear and non-linear systems and demonstrate the effectiveness of the adaptive filter in situations involving poor models. The …
-
Parameter learning with particle filters
… models in practice rely on recalibrating model parameters periodically for effective risk management. Yet, these model parameters are often assumed to be constant over time, thereby countering the notion of readjusting these values. A possible solution to this problem is to recalibrate at times …
-
Two-parameter noncommutative Gaussian processes
… structure considered is modeled on the two-parameter families of generalized harmonic oscillators found in physics and the presently introduced framework may be viewed as a two-parameter deformation of classical probability. Specifically, we introduce (1) a generalized Non-commutative …
-
Decomposed algorithms for parameter estimation
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.
-
Parameter recovery for transient signals
… This framework takes advantage of existing parameter modeling, identification, and recovery techniques to determine the decay rates while an alternating projection method utilizing the Discrete Transient Transform determines the amplitudes.
-
Machine Learning-Based Parameter Validation
… to find a correlation between specific model parameter changes, and the variations in the dynamic response. Also, the measurements used for building and evaluating the classifiers were characterized using Prony decomposition. The generator model, consisting of an exciter, governor, and its …
-
Parameter identification in distributed structures
… two new techniques for the identification of parameters in distributed-parameter systems. The first technique identifies the physical parameter distributions such as mass, damping and stiffness. The second technique identifies the modal quantities of self-adjoint distributed-parameter systems. …
-
Parameter estimation of urban drainage models
… models depends on the correct selection of model parameter values. Some of these parameters can be physically measured, whereas the other parameters are impossible or difficult to measure. Therefore, these parameter values, which are impossible or difficult to measure physically, have to be …
-
Nuisance Parameter Estimation in Survival Models
… a conditional survival function as a nuisance parameter. This thesis focuses on the impact of the conditional survival function on the estimation of censored quantile regression and restricted means. In particular, we illustrate that a non-parametric estimator of the conditional survival …
-
Einfluss von Stimmungen auf kognitive Parameter
… spezifische Muster der Ausprägung kognitiver Parameter existieren. Die empirischen Untersuchungen dieser Arbeit konzentrierten sich dabei auf drei spezifische Basisemotionen (Angst, Ärger, Traurigkeit) und auf zwei ausgewählte kognitive Parameter, die an Arbeiten von Dörner (1999, Dörner und …
Page 1 of 476