摘要
本文针对传统方法的BP神经网络初始化权值参数的随机性问题,提出了基于决策树算法的方法。本文概述了论题的研究背景,并针对C4.5决策树算法等进行了简要分析,通过实例分析的方式,对基于决策树的BP神经网络权值初始化方法的应用展开分析,以期为相关研究提供参考。
Aiming at the randomness of the weight initialization method of BP neural network developed by traditional methods,a method based on decision tree algorithm is proposed.This paper discusses the research background of the topic first,and then makes a brief analysis on C4.5 decision tree algorithm.Finally,by case analysis it analyzes the application of BP neural network weight initialization method based on decision tree in order to provide reference for relevant research.
作者
高林娥
GAO Lin’e(Yuncheng Advanced Normal College,Yuncheng Shanxi 044000,China)
出处
《智能计算机与应用》
2020年第7期294-296,共3页
Intelligent Computer and Applications
