Browsing by Keywords "Particle swarm optimization"
Now showing items 1-6 of 6
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Improvements in deterministic error modeling and calibration of inertial sensors and magnetometers
(Elsevier B.V., 2016)We consider the deterministic modeling, calibration, and model parameter estimation of two commonly employed inertial measurement units based on real test data acquired from a flight motion simulator. Each unit comprises ... -
Maximum likelihood estimation of Gaussian mixture models using stochastic search
(Elsevier BV, 2012)Gaussian mixture models (GMM), commonly used in pattern recognition and machine learning, provide a flexible probabilistic model for the data. The conventional expectationmaximization (EM) algorithm for the maximum likelihood ... -
Modeling and optimization of multi-scale machining operations
(Bilkent University, 2012)Minimization of production time, cost and energy while improving the part quality is the main goal in manufacturing. In order to be competitive in today’s global markets, it is crucial to develop high precision machine ... -
Noise enhanced parameter estimation using quantized observations
(Bilkent University, 2010)In this thesis, optimal additive noise is characterized for both single and multiple parameter estimation based on quantized observations. In both cases, first, optimal probability distribution of noise that should be added ... -
Optimization of linear wire antenna arrays to increase MIMO capacity using swarm intelligence
(Institution of Engineering and Technology, 2007)Free standing linear arrays (FSLA) are analyzed and optimized to increase MIMO capacity. A MIMO channel model based on electric fields is used. The effects of mutual interactions among the array elements are included into ... -
Representing and evaluating ultrasonic maps using active snake contours and Kohonen's self-organizing feature maps
(Springer, 2010-05-04)Active snake contours and Kohonen's self-organizing feature maps (SOMs) are employed for representing and evaluating discrete point maps of indoor environments efficiently and compactly. A generic error criterion is developed ...
