摘要
随着人工智能的发展,机器学习在各领域中的应用愈发广泛。本文简要总结了机器学习及其分类,根据刑事技术具体研究方向分析阐述了其在各类检验鉴定中发挥的具体作用、应用的具体环节,同时归纳总结其在目前应用中的问题与不足,并对其今后的发展方向进行展望。在物证检验鉴定领域,机器学习今后将其结合多学科知识开发多层综合系统,具有不容小觑的应用价值。
With the development of artificial intelligence,machine learning has become more widely used in various fields.This paper briefly summarizes the machine learning and its classification.Based on the specific research direction of forensic technology,it analyzes its role in various aspects of test and identification,and its effect in the specific part of the application.At the same time,it sums up the problems and deficiencies in its application currently,and look ahead to its future development.In recent years,machine learning has been widely used in the field of forensic technology,especially in the test and identification of criminal evidence.In the field of test and identification of criminal evidence,machine learning will be combined with multi-disciplinary knowledge to develop multi-layer integrated systems in the future,which will have even more application value.
作者
姜晓佳
JIANG Xiao-jia(Graduate School,People's Public Security University of China,Beijing 102623,China)
出处
《新一代信息技术》
2019年第3期6-13,共8页
New Generation of Information Technology
关键词
机器学习
检验鉴定
神经网络
个体识别
Machine learning
Test and identification
Neural network
Individual identification
