A Complex Network Model for Analyzing Railway Accidents Based on the Maximal Information Coefficient简

It is an important issue to identify important influencing factors in railway accident analysis.In this paper,employing the good measure of dependence for two-variable relationships,the maximal information coefficient(MIC),which can capture a wide range of associations,a complex network model for ra...

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Veröffentlicht in:	理论物理通讯：英文版 2016 (10), p.459-466
1. Verfasser:	邵福波 李克平
Format:	Artikel
Sprache:	eng
Schlagworte:	railway accident criterion unbalanced capture gross vertex fitting globally approximate
Online-Zugang:	Volltext
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