×
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
山东大学 [6]
自动化研究所 [2]
西安交通大学 [1]
深圳先进技术研究院 [1]
计算技术研究所 [1]
国家空间科学中心 [1]
更多...
内容类型
期刊论文 [8]
会议论文 [6]
发表日期
2019 [1]
2016 [2]
2015 [2]
2014 [2]
2013 [4]
2011 [2]
更多...
×
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14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
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Stacked ensemble extreme learning machine coupled with Partial Least Squares-based weighting strategy for nonlinear multivariate calibration
期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 卷号: 215, 页码: 97-111
作者:
Shan, Peng
;
Zhao, Yuhui
;
Wang, Qiaoyun
;
Sha, Xiaopeng
;
Lv, Xiaoyong
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2019/12/16
Extreme learning machine (ELM)
Partial least squares (PLS)
Nonlinear multivariate calibration
Stacked generalization
Incremental extreme learning machine based on deep feature embedded
期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2016, 卷号: 7, 期号: 1, 页码: 111-120
作者:
Zhang, Jian
;
Ding, Shifei
;
Zhang, Nan
;
Shi, Zhongzhi
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/12/13
RBM
SRBM
Manifold Regularization
ELM
Incremental feature mapping
Neural network simulation of the atmospheric point spread function for the adjacency effect research
会议论文
Conference on Optics in Atmospheric Propagation and Adaptive Systems XIX, Edinburgh, SCOTLAND, SEP 28-29, 2016
作者:
Ma, Xiaoshan
;
Wang, Haidong
;
Li, Ligang
;
Yang, Zhen
;
Meng, Xin
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2017/04/07
adjacency effect
atmospheric point spread function
Monte Carlo simulation
neural network
Active Learning Based on Single-Hidden Layer Feed-forward Neural Network
会议论文
IEEE SMC 2015 Conference, Hong Kong
作者:
Ran Wang
;
Sam Kwong
;
Qingshan Jiang
;
Ka-Chun Wong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2016/01/27
Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms
期刊论文
Energy Conversion and Management, 2015, 卷号: 100, 页码: 16-22
作者:
Liu, Hui*
;
Tian, Hong-Qi
;
Li, Yan-Fei
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/03
WD
Wave let Decomposition
WPD
Wavelet Packet Decomposition
EMD
Empirical Mode Decomposition
EEMD
Ensemble Empirical Mode Decomposition
FEEMD
Fast Ensemble Empirical Mode Decomposition
MLP
Multi Layer Perceptron
ANFIS
Adaptive Network-based Fuzzy Inference System
BP
Back Propagation
GA
Genetic Algorithm
PSO
Particle Swarm Optimization
EA
Evolutionary Algorithm
AA
Adaboost Algorithm
ARIMA
Autoregressive Integrated Moving Average
SLFNN
Single-hidden Layer Feed-forward Neural Networks
MAE
Mean Absolute Error
MAPE
Mean Absolute Percentage Error
RMSE
Root Mean Square Error
Wind energy
Wind speed forecasting
Wind speed decomposition
Wavelet
Extreme learning machines
Empirical mode decomposition
Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems
期刊论文
SOFT COMPUTING, 2014, 卷号: 18, 期号: 8, 页码: 1645-1653
作者:
Song, Ruizhuo
;
Xiao, Wendong
;
Wei, Qinglai
;
Sun, Changyin
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2015/08/12
Adaptive dynamic programming
Approximate dynamic programming
Unknown nonlinear systems
Optimal control
Data-based
基于全局优化策略选择集成仿真元模型
会议论文
11th World Congress on Intelligent Control and Automation (WCICA 2014), Shenyang, China, June 29 - July 4, 2014
作者:
汤健
;
李东
;
郑文荣
;
丛秋梅
;
刘卓
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2015/09/15
复杂系统建模
分析仿真
仿真元建模
选择性集成
基于随机权重的单隐层前馈网络
The extreme learning machine learning algorithm with tunable activation function
期刊论文
Neural computing & applications, 2013, 期号: 3, 页码: 531-539
作者:
Bin Li
;
Yibin Li
;
Xuewen Rong
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/23
Extreme learning machine
Single hidden layer feed-forward neural networks
Tunable activation function
Differential evolution algorithm
The extreme learning machine learning algorithm with tunable activation function
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 3-4, 页码: 531-539
作者:
Li, Bin
;
Li, Yibin
;
Rong, Xuewen
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/23
Extreme learning machine
Single hidden layer feed-forward neural
networks
Tunable activation function
Differential evolution algorithm
Review and performance analysis of single hidden layer sequential learning algorithms of feed-forward neural networks
期刊论文
2013 25th Chinese Control and Decision Conference, CCDC 2013, 2013, 页码: 2170-2175
作者:
Li, Bin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/23
Chaotic time series prediction
Performance analysis
Sequential learning algorithms
Single hidden layer feed-forward neural networks
©版权所有 ©2017 CSpace - Powered by
CSpace