Considering the issue of model update within the Mean-shift framework, this paper proposes a model update method by using Kalman filters to estimate the object kernel-histogram from the previous and current object models.
Then the detailed procedure of application is discussed: initial velocity model creation,output of common imaging gather with large grid,migration velocity analysis and velocity model updating,and final prestack depth migration.
The results of both experiment 1 and experiment 2 indicated: working memory span affected situation model processing, the readers with high working memory span were easier to establish situation model about the text than the readers with low working memory span did. Especially in the process of situation model updating, the difference was more significant.
This paper take the actual project application as the research background, including about model establishment, model renewed, and the match algorithm has following research work:(1) The main body of personalization recommendation system is the documents resources and the user resources.
The integrated module consists of ANSYS, MSC/NASTRAN, or ABAQUS for FEA; Design Optimization Tool (DOT) for nonlinear programming; and DSA and design model update programs developed in DSO.
To confer an adaptability, an online adaptation (or model update) algorithm was developed and incorporated into the selected optimization algorithm.
Strong points of the method include compositional modeling, support for model update, ability to focus on any sub-system, amenability to parallel execution, management of multiple faults, and broad notions of system and observation.
A simulation model update in 2007 indicates that water injection could further increase the reserves up to 7.8 MMSTB.
Also shown are the number of texture maps collected for a character after each run of model update.
The laws for model updating and the control laws for the neural adaptive controller are derived from Lyapunov stability theorem, therefore the semiglobal stability of the closed-loop system is guaranteed.
Since a state-space model can be identified directly from input-output data, an initial finite element model and/or model updating is not required.
Periodic data collection, feedback, and model updating are essential where site-specific prediction is required.
One of the most important aspects of such optimization techniques is the choice of model updating strategy.
Applications of hybrid optimization techniques for model updating of rotor shafts
Simple expedients for model modification are suggested that reduce multicollinearity, thus allowing the parameters to be determined.
Three main sets of sensitivity studies were carried out: the first estimates the magnitude of internal variability, which is needed to evaluate the significance of changes in the simulated climate induced by any model modification.
The relationship between model modification and predictive validity in covariance structure models is studied.
Decision-makers intend to make more than one business model modification over the next two years.
For the essential steps such as data acquisition, CAD model building, model modification and printing there are already good solutions on the market.
Finally, we investigate the effects of personalization on performance at different learning rates via online updating of model parameters based on individual user data.
The updating of model parameters is particularly important for high strength concretes and other special concretes containing various admixtures, superplasticizers, water-reducing agents and pozzolanic materials.
Hence, it has a Levinson-like form for the updating of model parameters by introducing auxiliary variables.
The framework for optimal adaptive control is generalized by including partial observability and non-adaptive, sample-based updating of model likelihoods.