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In chemometrics, data from infrared or near-infrared (NIR) spectroscopy are often used to identify a compound or to analyze the composition of a material. This involves the calibration of models that predict the concentration of material constituents from the measured NIR spectrum. An interesting aspect of multivariate calibration is to achieve a particular accuracy level with a minimum number of...
This work investigates what makes a robotic assembly process “learnable” for the explicit purpose of improving the performance of that process. It has been observed that even stochastic search methods like Genetic Algorithms (GA) can benefit from advanced models of the assembly task. Models built from the results of random samplings of a parameter space have been used previously to predict the performances...
The technology of near-infrared spectroscopy analysis plays a very important role in quality detection of farm produce. This thesis analyzed grainy wheat quality with 900 nm-1700 nm wave raster near-infrared spectroscopy analysis system, filtered signal with wavelet packet analyses system, disposed signal with second order differential equipment, built and contrasted models of partial least square...
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