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Summary: Many simulation methods and programs have been developed to simulate genetic data of the human genome.
VERTEX is implemented in Matlab (Mathworks Inc., Natick, MA, USA), and makes use of established theory of extracellular potential generation, combined with modern simulation methods and developments in simplified neuron modelling to simulate local field potentials (LFPs) from large neuronal network models encompassing more than 100,000 neurons.
Two algorithms based on fuzzy simulation methods and Genetic Algorithm are developed for these two models.
For the modeling and analysis various simulation methods and programs have been developed.
The heuristics are tested using simulation methods, and prove to be close to optimal in practice.
Depending on student and instructor interest, we will consider advanced topics and applications, including: machine learning, simulation methods and Bayesian estimators.
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The project presentation is a public 25 minute exposition of a student project, summarizing the project goal, simulation method and results, lessons learned and problems encountered.
The simulation method and the used algorithm is described in detail.
The kinematic characteristics of the coupling device are analyzed by multi-body dynamics simulation method, and finite element method.
Recently, he developed a new continuum simulation method, and applied it to model bulk metallic glass, a type of advanced alloy under consideration for a variety of technological applications.
To demonstrate the effectiveness of this approach, the calculation results from a linear simulation method and a random phase non-deterministic spectral amplitude (NSA) simulation method and from using some empirical formulas have also been presented for comparison purpose.
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