现代电子技术2016，Vol.39Issue(9)：111-113,3.DOI:10.16652/j.issn.1004-373x.2016.09.025
基于部分连接神经网络的序列数据分类算法研究
Research on sequence data classification algorithm based on partially connected neural network
张素莉1
作者信息
- 1. 长春工程学院 计算机技术与工程学院，吉林 长春 130012
- 折叠
摘要
Abstract
The definition of sequence data is studied. The 5 kinds sequence data is analyzed. In combination with the cha⁃racteristics of the partially connected neural network,the classification algorithm of the sequence data based on partially connected neural network is studied. The algorithm used to calculation has fast learning and convergence rate,and is especially suitable for adaptive modeling and control. When the square primary function is used to calculate,the square function can be only used to approach the smooth function in network output process. The sequence data classification operation has great advantage in data mining,so the research of the sequence data classification algorithm has the high theory and application value.关键词
部分连接神经网络/序列数据/分类算法/方形基函数Key words
partially connected neural network/sequence data/classification algorithm/square primary function分类
信息技术与安全科学引用本文复制引用
张素莉..基于部分连接神经网络的序列数据分类算法研究[J].现代电子技术,2016,39(9):111-113,3.
