中国矿业大学主页平台系统 Si Lei--Home-- Fusion Recognition of Shearer Coal-Rock Cutting State Based on Improved RBF Neural Network and D-S Evidence Theory

Si Lei

一、基本情况司垒，1987年7月生，江苏徐州人，教授（预聘），博士生导师，江苏省智能矿山装备工程研究中心副主任，师从王忠宾教授（国家“万人计划”科技创新领军人才）。主要从事煤矿智能化开采装备技术、煤矿机器人等方面的研究工作。主持国家自然科学基金面上项目、国家自然科学基金青年项目、江苏省自然科学基金面上项目、国家重点研发计划子课题（国拨经费80万元）、山东省中央引导地方科技发展资金课题、中国博士后科学基...Detials

Recommended Ph.D.Supervisor Recommended MA Supervisor

Paper Publications Current position: Home > Scientific Research > Paper Publications

Fusion Recognition of Shearer Coal-Rock Cutting State Based on Improved RBF Neural Network and D-S Evidence Theory

Release time:2021-09-28 Hits:

DOI number:10.1109/ACCESS.2019.2937829
Affiliation of Author(s):机电工程学院
Funded by:国家自然科学基金项目
First Author:Si Lei
Co-author:wangzhongbin,蒋干
Indexed by:Journal paper
Document Code:5b5bb294766fc4290176738ece9e05e5
Volume:卷: 7页: 122106-122121
ISSN No.:2169-3536
Translation or Not:no
Date of Publication:2019-01-01

Pre One: Assessment of rib spalling hazard degree in mining face based on background subtraction algorithm and support vector machine

Next One: A sensing identification method for shearer cutting state based on modified multi-scale fuzzy entropy and support vector machine