Parameter-tuning Networks: Experiments and Active Walk Model

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dc.creatorHan, Xiao-Pu
dc.creatorHu, Chun-Dong
dc.creatorLiu, Zhi-Min
dc.creatorWang, Bing-Hong
dc.date2008-01-18
dc.date2008-02-28
dc.date.accessioned2026-07-07T10:05:30Z
dc.date.available2026-07-07T10:05:30Z
dc.descriptionThe tuning process of a large apparatus of many components could be represented and quantified by constructing parameter-tuning networks. The experimental tuning of the ion source of the neutral beam injector of HT-7 Tokamak is presented as an example. Stretched-exponential cumulative degree distributions are found in the parameter-tuning networks. An active walk model with eight walkers is constructed. Each active walker is a particle moving with friction in an energy landscape; the landscape is modified by the collective action of all the walkers. Numerical simulations show that the parameter-tuning networks generated by the model also give stretched exponential functions, in good agreement with experiments. Our methods provide a new way and a new insight to understand the action of humans in the parameter-tuning of experimental processes, is helpful for experimental research and other optimization problems.
dc.description4 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/0801.2802
dc.identifierhttp://arxiv.org/abs/0801.2802
dc.identifierPublished at Europhys. Lett. 83 (2008) 28003
dc.identifierdoi:10.1209/0295-5075/83/28003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/170026
dc.subjectPlasma Physics
dc.subjectData Analysis, Statistics and Probability
dc.titleParameter-tuning Networks: Experiments and Active Walk Model
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