计算机与数字工程2018，Vol.46Issue(5)：866-869,915,5.DOI:10.3969/j.issn.1672-9722.2018.05.004
基于人工蜂群算法的数据分类感知研究
Research on Data Classification Perception Based on Artificial Bee Colony Algorithm
摘要
Abstract
The perception data classification is the training data examples of linear separability which is separated into two kinds of positive and negative hyperplane classification criterion which is the minimum classification error point,minimization of a loss function by using the gradient descent method,obtain the separating hyperplane.However,the hyperplane obtained by this iter-ation method is not unique,and has a good effect on the classification of training data.It may have poor classification effect on the test set data,that is,the generalization ability is not satisfactory.In this paper,the artificial bee colony algorithm is used to solve the data classification perceptron model,and a loss function suitable for bee colony algorithm is constructed,which improves the classification accuracy of the algorithm.关键词
数据分类感知/人工蜂群算法/分离超平面Key words
data classification perception/artificial bee colony algorithm/separation hyperplane分类
信息技术与安全科学引用本文复制引用
王小君..基于人工蜂群算法的数据分类感知研究[J].计算机与数字工程,2018,46(5):866-869,915,5.基金项目
国家自然科学基金项目"面向复杂类型数据的粒计算方法、模型及其多属性群决策分析"(编号:71101096)资助. （编号:71101096）
