Tensor extreme learning design via generalized Moore–Penrose inverse and triangular type-2 fuzzy sets-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Tensor extreme learning design via generalized Moore–Penrose inverse and triangular type-2 fuzzy sets

Published:2018-03-01 Issue:9 Volume:31 Page:5641-5651
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Huang Sharina,Zhao Guoliang,Chen Minghao

Funder

Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3385-5.pdf

Reference31 articles.

1. Huang GB, Ding XJ, Zhou HM (2010) Optimization method based extreme learning machine for classification. Neurocomputing 74(1):155–163

2. Huang GB, Zhou HM, Ding XJ, Zhang R (2012) Extreme learning machine for regression and multiclass classification. IEEE Trans Syst Man Cybern B Cybern 42(2):513–529

3. Zong WW, Huang GB, Chen YQ (2013) Weighted extreme learning machine for imbalance learning. Neurocomputing 101:229–242

4. Huang GB (2014) An insight into extreme learning machines: random neurons, random features and kernels. Cogn Comput 6(3):376–390

5. Deng W, Zheng Q, Chen L (2009) Regularized extreme learning machine. In: IEEE symposium on computational intelligence and data mining, pp 389–395

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Outlier detection toward high-dimensional industrial data using extreme tensor-train learning machine with compression;Journal of King Saud University - Computer and Information Sciences;2023-06

2. Irregular convolution strategy based tensorized type-2 single layer feedforward network;International Journal of Machine Learning and Cybernetics;2023-04-27

3. C-Loss-Based Doubly Regularized Extreme Learning Machine;Cognitive Computation;2022-08-27

4. Tensor based stacked fuzzy neural network for efficient data regression;Soft Computing;2022-08-17

5. Tensor-Based Type-2 Extreme Learning Machine with L1-norm and Liu Regression;2022 41st Chinese Control Conference (CCC);2022-07-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3