A regularization framework in polar coordinates for transductive learning in networked data

Hou, Cuiqin; Jiao, Licheng; Hou, Yu

doi:10.1016/j.ins.2012.09.006

Cited by 3 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, there have been many methods in geophysical inversion, such as regularization method theory [7], the neural network [8] and ant colony optimisation algorithm [9], but currently the most widely used is the genetic algorithm [3,4], Wei [10] verified the the feasibility and correctness in using the genetic algorithm to inverse the dipole model.…”

Section: B Genetic Algorithm(ga)mentioning

confidence: 99%

Judgment about thunderstorms position, moving direction and the path based on networking atmosphere electric-field monitors data

Chen

Wang

et al. 2014

2014 International Conference on Lightning Protection (ICLP)

View full text Add to dashboard Cite

The extensive use of networking atmosphere electricfield monitors solved the problem that the single-station electricfield monitor exists such as the low warning success rate, the difficulty to master warning time, the difficulty to predict the direction of approaching thunderstorms and other issues in lightning monitoring and warning. In this paper, we dealt with networking atmosphere electric-field data. In order to use a minimum configuration of atmospheric electric-field monitor, we used the genetic algorithm and the bipolar model of thunderstorm clouds on the basis of existing research results, the two methods and the atmospheric electric-field data are used to calculate the height of thunderstorm cloud ,the amount of charge and the distance to each station between thunderstorm, then the distance is reused to work out location, overlapping the position of each time, the direction and the path of thunderstorm can also be obtained. We selected typical thunderstorm weather in Shanxi 2013, and used a radar echo data for validation. The results show that three-point positioning method and genetic algorithm have accuracy in locating thunderstorms center and monitoring the movement path.

show abstract

Section: B Genetic Algorithm(ga)mentioning

confidence: 99%