×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
湖南大学 [5]
清华大学 [2]
兰州理工大学 [2]
数学与系统科学研究院 [2]
自动化研究所 [2]
北京大学 [1]
更多...
内容类型
期刊论文 [18]
会议论文 [3]
SCI/SSCI论文 [1]
学位论文 [1]
发表日期
2022 [1]
2018 [3]
2017 [3]
2016 [2]
2015 [6]
2014 [2]
更多...
学科主题
computer s... [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共23条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
发表日期升序
发表日期降序
作者升序
作者降序
提交时间升序
提交时间降序
题名升序
题名降序
Self-adaptive Bat Algorithm With Genetic Operations
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1284-1294
作者:
Jing Bi
;
Haitao Yuan
;
Jiahui Zhai
;
MengChu Zhou
;
H. Vincent Poor
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/06/27
Bat algorithm (BA)
genetic algorithm (GA)
hybrid algorithm
learning mechanism
meta-heuristic optimization algorithms
A secondary-decomposition-ensemble learning paradigm for forecasting PM2.5 concentration
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2018, 卷号: 9, 期号: 6, 页码: 989-999
作者:
Gan, Kai
;
Sun, Shaolong
;
Wang, Shouyang
;
Wei, Yunjie
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2018/11/16
Secondary-decomposition-ensemble learning paradigm
Complementary ensemble empirical mode decomposition
Phase space reconstruction
Least square support vector regression
Hybrid intelligent algorithm
Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications
期刊论文
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 卷号: 56, 页码: 193-223
作者:
Lin, Lin
;
Gen, Mitsuo
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
evolutionary algorithm
machine learning
scheduling
combinatorial optimisation
hybrid algorithm
scheduling application
A Hybrid Deep Learning Model for Consumer Credit Scoring
期刊论文
2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND BIG DATA (ICAIBD), 2018, 页码: 205-208
作者:
Zhu, Bing
;
Yang, Wenchuan
;
Wang, Huaxuan
;
Yuan, Yuan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/02/28
consumer
credit
scoring
hybrid
model
deep
learning
convolutional
neural
network
relief
algorithm
A hybrid transfer learning model for crude oil price forecasting
期刊论文
STATISTICS AND ITS INTERFACE, 2017, 卷号: 10, 期号: 1, 页码: 119-130
作者:
Xiao, Jin
;
Hu, Yi
;
Xiao, Yi
;
Xu, Lixiang
;
Wang, Shouyang
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2018/07/30
Hybrid transfer learning model
Analog complexing
Genetic algorithm
Crude oil price forecasting
Transfer learning technique
A hybrid transfer learning model for crude oil price forecasting
期刊论文
STATISTICS AND ITS INTERFACE, 2017, 卷号: 10, 期号: 1, 页码: 119-130
作者:
Xiao, Jin
;
Hu, Yi
;
Xiao, Yi*
;
Xu, Lixiang
;
Wang, Shouyang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/23
Analog complexing
Crude oil price forecasting
Genetic algorithm
Hybrid transfer learning model
Transfer learning technique
An evolutionary extreme learning machine based on chemical reaction optimization
期刊论文
Journal of Information and Optimization Sciences, 2017, 卷号: Vol.38 No.8, 页码: 1265-1290
作者:
Thuy Van Tran
;
Yao Nan Wang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/31
Extreme
learning
machine
(ELM)
Chemical
reaction
optimization
(CRO)
Single-hidden-layer
feedforward
neural
network
(SLFN)
Hybrid
learning
algorithm
classification
Genetic Learning Particle Swarm Optimization
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: [db:dc_citation_issue], 页码: 2277-2290
作者:
Gong, Yue-Jiao
;
Li, Jing-Jing
;
Zhou, Yicong
;
Li, Yun
;
Chung, Henry Shu-Hung
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
hybrid method
learning scheme
particle swarm optimization (PSO)
genetic algorithm (GA)
Exemplar construction
An orthogonal-design hybrid particle swarm optimiser with application to capacitated facility location problem
期刊论文
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2016, 卷号: 8, 页码: 268-285
作者:
Chu, Xianghua[1]
;
Niu, Ben[2]
;
Liang, J. J.[3]
;
Lu, Qiang[1]
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/04/24
particle swarm optimiser
PSO
global optimisation
orthogonal experimental design
hybrid learning
capacitated facility location problem
population diversity
bio-inspired algorithm
A robust hybrid method for text detection in natural scenes by learning-based partial differential equations
期刊论文
NEUROCOMPUTING, 2015
Zhao, Zhenyu
;
Fang, Cong
;
Lin, Zhouchen
;
Wu, Yi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2017/12/03
Text detection
Natural scenes
Hybrid method
Learning-based PDEs
INVERSE PROBLEMS
MEAN SHIFT
IMAGES
EXTRACTION
LOCALIZATION
ALGORITHM
GRADIENT
ENERGY
VIDEO
©版权所有 ©2017 CSpace - Powered by
CSpace