摘要
随着大数据的到来,各种通信信息不断更新,传统数据中积累大量信息,且各种区块链技术不断成熟,财务风险管理越来越精准。但是,数据处理过程中,数据量大,使用传统方法不能及时挖掘数据,影响结果。区块链是近几年较为火热的一种技术,日益受到人们的关注。基于此,提出采用神经网络算法进行数据挖掘,并应用到区块链中。
With the arrival of big data,all kinds of communication information are constantly updated,a large amount of information is accumulated in traditional data,and all kinds of block chain technology are constantly mature,financial risk management is becoming more and more accurate.However,in the process of data processing,there is a large amount of data,so traditional methods can not mine data in time,which affects the results.Block chain is a hot technology in recent years,which has attracted more and more attention.Based on this,a data mining method using neural network algorithm is proposed and applied to block chains.
作者
丁浩轩
郭芳郁
Ding Haoxuan;Guo Fangyu(Tianjin Kadake Data Co.,Ltd.,Tianjin 300000,China)
出处
《信息与电脑》
2019年第11期37-38,共2页
Information & Computer
关键词
神经网络算法
区块链
遗传算法
neural network algorithm
block chain
genetic algorithm