Here we consider the estimation of the hyper-parameters of the Automatic Relevance Determination (ARD) covariance ([62], Chapter 6).
GraFIX allows the adaptation of the input parameters for the automatic algorithms (e.g., velocity threshold, interpolation latency) to fit the data from different participants that present different levels of data quality.
The use of parameters permits the automatic alteration of design variables within predefined bounds.
An ideal QoS management solution should support both the QoS specification allowing the use of an extensible list of QoS parameters and the automatic mapping of these parameters to those understood and controlled by the NSPs.
In this paper, a novel method of optimizing the control parameters in the automatic carrier landing system of F/A-18A is developed, which is based on simplified Brain Storming Optimization (BSO) algorithm.
In such a case it embraces the phase of optimisation of the measurement parameters, the automatic search for particles, and finally the manual confirmation of the relevance of the chemical class assigned to a particle with its X-ray spectrum as well the observation of the morphology of single particles.
Finally, this study includes robustness considerations in the controller tuning process, and develops explicit guidelines for the selection of the IMC tuning parameters, completing the automatic tuning procedure for cascade control systems.
This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm.
The algorithm and parameters used in the automatic part of UHR identification will be used in the HFA operation for providing electron number density to S-WPIA, which is being tested.
Using the above parameters, the PM and CR of the automatic method, and also the semi-supervised alternative, were calculated.
