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 7 of 7 for “"parameter regression"”.
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Development of a corn stover yield monitor
… through a combine and determine what harvest parameters affected the response of the sensor. A sensor was developed by installing a curved plate behind the rotor discharge beater of the combine to intersect the flow path of the stover leaving the rotor discharge beater. The plate was …
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Real-Time Ground Vehicle Parameter Estimation and System Identification for Improved Stability Controllers
… research in and modeling of vehicle dynamics and parameter estimation. Parameter estimation is a challenging problem. Many different elements play into the stability of a parameter estimation algorithm. The primary trade-off is robustness for accuracy. Lyapunov estimation techniques, for instance, …
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Towards Efficient Hydraulic Manipulator Control using Learning-Based Model Predictive Control
… has explored the use of Gaussian Process Regression (GPR) to enhance the modelling of manipulator dynamics, ultimately enabling more accurate control. Most control solutions have employed reactive control techniques, such as Inverse Dynamics controllers, for manipulator controllers. More …
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The Chemistry of some Di- and Tri-Phenylmethane dyes
… been used to obtain thermodynamic activation parameters and to test the applicability of an isokinetic relationship in the dye systems. The various methods of computation and their results have been compared and discussed in relation to literature data for similar dyes. A stopped-flow …
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Synthesis of Local Thermo-Physical Models Using Genetic Programming
… heuristics. For each candidate model, the model parameters are optimized in the inner integrated nested loop. The trade-off between accuracy and model complexity is addressed through incorporation of the Minimum Description Length (MDL) into the fitness (objective) function. Statistical tools …
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A Deep Learning Study on the Retrieval of Forest Parameters from Spaceborne Earth Observation Sensors
… of artificial intelligence (AI) for the regression of bio-physical forest parameters from spaceborne Earth Observation (EO) data. This work explores for the first time the combined use of TanDEM-X single-pass interferometric products and convolutional neural networks for canopy height …
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A Survey of Applications of Spline Functions to Statistics.
… included in the discussion are splines, spline regression, spline smoothing, and estimating the smoothing parameter for spline regression. Also, we give a very brief discussion of multivariate splines in statistics and wavelets in statistics. Both of these topics are currently subjects for …