一种基于大脑情感学习的快速分类改进算法

doi:10.3969/j.issn.0372-2112.2017.11.013

电子学报 ›› 2017, Vol. 45 ›› Issue (11): 2663-2670.DOI: 10.3969/j.issn.0372-2112.2017.11.013

一种基于大脑情感学习的快速分类改进算法

梅英^1,2, 谭冠政¹, 刘振焘³

1. 中南大学信息科学与工程学院, 湖南长沙 410083;
2. 湖南文理学院电气与信息工程学院, 湖南常德 415000;
3. 中国地质大学自动化学院, 湖北武汉 430074

收稿日期:2016-07-25 修回日期:2016-11-24 出版日期:2017-11-25
- 通讯作者:
- 谭冠政
- 作者简介:
- 梅英,女,1978年12月出生于湖南常德.现为中南大学博士研究生,湖南文理学院讲师,主要研究方向包括人工智能、机器学习与情感计算.Email:63641214@qq.com
- 基金资助:
- 国家自然科学基金 (No.61403422）; 湖南省教育厅科学研究项目 (No17C1084）

Improved Brain Emotional Learning Algorithm for Fast Classification

MEI Ying^1,2, TAN Guan-zheng¹, LIU Zhen-tao³

1. School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China;
2. School of Electrical and Information Engineering, Hunan University of Arts and Science, Changde, Hunan 415000, China;
3. School of Automation, China University of Geoscience, Wuhan, Hubei 430074, China

Received:2016-07-25 Revised:2016-11-24 Online:2017-11-25 Published:2017-11-25

摘要/Abstract

摘要： 为了提高数据分类的快速性与准确性，本文在大脑情感学习（Brain Emotional Learning，BEL）模型的基础上，结合遗传算法（Genetic Algorithm，GA），提出了一种基于GA-BEL的快速分类改进算法.BEL模型根据大脑中杏仁体和眶额皮质之间相互学习的神经生物学原理建立，模拟了情感刺激在大脑短反射通路中被快速处理的过程.因此，基于BEL模型的网络运算速度快.进一步采用遗传算法优化BEL网络权值，提高其分类正确率.在UCI数据集上的对比实验结果表明，无论对于小样本还是大样本数据集，较其他分类算法，GA-BEL算法均有较高的分类正确率和计算效率.

关键词: 快速分类, 大脑情感学习, 遗传算法, 数据集

Abstract: An improved fast classification algorithm based on Brain Emotional Learning (BEL) and Genetic Algorithm (GA) is proposed to enhance the accuracy and efficiency.Inspired by the neurobiology research of emotional learning mechanism in amygdala and orbitofrontal cortex,the BEL model is constructed to mimic the mechanism of emotional stimulus processing in human brain.For the short path in the emotional brain,BEL can speed up the learning process.Furthermore,the learning weights in BEL are optimized by GA in order to improve the accuracy.Experiments using UCI datasets are performed,by which the results show that GA-BEL classification obtains higher accuracy and less computing time compared to other classifiers,in both small and large sample datasets.

Key words: fast classification, brain emotional learning, genetic algorithm, datasets

中图分类号:

TP18

梅英, 谭冠政, 刘振焘. 一种基于大脑情感学习的快速分类改进算法[J]. 电子学报, 2017, 45(11): 2663-2670.

MEI Ying, TAN Guan-zheng, LIU Zhen-tao. Improved Brain Emotional Learning Algorithm for Fast Classification[J]. Acta Electronica Sinica, 2017, 45(11): 2663-2670.

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一种基于大脑情感学习的快速分类改进算法

Improved Brain Emotional Learning Algorithm for Fast Classification

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