A Review of multilayer extreme learning machine neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-023-10478-4.pdf
Reference166 articles.
1. Achlioptas D (2001) Database-friendly random projections. In: 20th ACM SIGMOD-SIGACT-SIGART symposium on principles of database systems, pp 274–281
2. Afonso MV, Bioucas-Dias JM, Figueiredo MA (2010) Fast image recovery using variable splitting and constrained optimization. IEEE Trans Image Process 19(9):2345–2356
3. Afzal A, Asharaf S (2018) Deep multiple multilayer kernel learning in core vector machines. Exp Syst Appl 96:149–156
4. Afzal A, Nair NK, Asharaf S (2021) Deep kernel learning in extreme learning machines. Pattern Anal Appl 24(1):11–19
5. Alaba PA, Popoola SI, Olatomiwa L et al (2019) Towards a more efficient and cost-sensitive extreme learning machine: a state-of-the-art review of recent trend. Neurocomputing 350:70–90
Cited by 9 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. Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey;Expert Systems with Applications;2024-11
2. Trajectory tracking control of discrete non-affine MIMO iterative systems with unknown models: a neural-network-based data-driven algorithm;Applied Intelligence;2024-07-29
3. Maximizing intrusion detection efficiency for IoT networks using extreme learning machine;Discover Internet of Things;2024-07-09
4. A Review on Large-Scale Data Processing with Parallel and Distributed Randomized Extreme Learning Machine Neural Networks;Mathematical and Computational Applications;2024-05-27
5. Generalizing infrastructure inspection: step transfer learning aided extreme learning machine for automated crack detection in concrete structures;Measurement Science and Technology;2024-02-21
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