摘要
现代技术发展催生了各类智能算法和计算工具,多层感知器神经网络和智能分类算法为其中的代表。尝试就基于多层感知器神经网络的智能分类算法展开分析,给出网络拓扑结构、智能分类算法设计等内容,最后通过模拟实验对上述理论的可行性和价值进行论证,从而为后续多层感知器、智能技术运用提供支持。
With the development of modern technology,all kinds of intelligent algorithms and computing tools are born,among which multilayer perceptron neural network and intelligent classification algorithm are the representatives.This paper attempts to analyze the intelligent classification algorithm based on multi-layer perceptron neural network,gives the network topology,intelligent classification algorithm design and other contents,and finally demonstrates the feasibility and value of the above theory through simulation experiments,providing support for the subsequent application of multi-layer perceptron and intelligent technology.
作者
李心宇
李晓航
李志伟
李冬雪
LI Xin-yu;LI Xiao-hang;LI Zhi-wei;LI Dong-xue(Department of Soitware Engineering,School of Software,Jilin University,Changchun 130000,China;School of Mathematics,Jilin University,Changchun 130000,China)
出处
《通信电源技术》
2020年第5期76-77,共2页
Telecom Power Technology
基金
基于神经网络的智能分类算法(2018B5530).
关键词
多层感知器
神经网络
智能分类算法
K近邻算法
multilayer perceptron
neural network
intelligent classification algorithm
K-nearest-neighbor algorithm
