基于多源数据融合的未成年人刑事责任程序定位方法

Rui Qu
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引用次数: 0

摘要

未成年人刑事责任的认定与程序定位,是维护社会稳定、规范社会秩序、维护法律公平正义的重要组成部分。针对传统的未成年人刑事责任程序定位方法准确率低的问题,提出了一种基于多源数据融合的未成年人刑事责任程序定位方法。根据未成年人刑事责任程序取向的解释变量分布,以未成年人刑事责任年龄、法律利益保护、社会利益等因素为参考变量,运用多源信息调度方法对未成年人刑事责任程序的统计取向进行动态分析。在分析结果的基础上,根据对未成年人刑事责任程序统计信息的匹配过滤检测,构建未成年人刑事诉讼指导模型,获取未成年人刑事责任程序统计信息。在约束指标模型的参数下,提取了未成年人刑事诉讼法约束指标转移的统计信息特征。采用多源数据融合方法对提取的特征量进行模糊聚类。根据聚类结果,确定未成年人刑事责任程序。仿真结果表明,该方法在确定未成年人刑事责任程序方面具有较高的准确性,提高了未成年人刑事责任年龄划分的科学性、合理性和先进性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method for Locating Juvenile Criminal Responsibility Procedure Based on Multi-Source Data Fusion
The identification and procedural orientation of juvenile criminal responsibility is an important part of maintaining social stability, standardizing social order and maintaining legal fairness and justice. Aiming at the low accuracy of the traditional method for locating juvenile criminal responsibility procedure, a method for locating juvenile criminal responsibility procedure based on multi-source data fusion is proposed. According to the distribution of explanatory variables of the orientation of juvenile criminal responsibility procedure, and taking the age of juvenile criminal responsibility, the protection of legal interests, social interests and other factors as reference variables, this paper makes a dynamic analysis of the statistical orientation of juvenile criminal responsibility procedure using multi-source information scheduling method. Based on the analysis results, according to the matching filter detection of the statistical information of the juvenile criminal responsibility procedure, a guidance model for juvenile criminal proceedings is constructed to obtain the statistical information of the juvenile criminal responsibility procedure. Under the parameters of the constraint index model, the statistical information characteristics of the transfer of the constraint index of juvenile criminal procedure law are extracted. The multi-source data fusion method is used for fuzzy clustering of the extracted feature quantities. According to the result of clustering, the criminal responsibility procedure for minors is determined. The simulation results show that the method has a high accuracy in determining the juvenile criminal responsibility procedure, and improves the scientificity, rationality and progressiveness of the age division of juvenile criminal responsibility.
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