Introduction to Learning Automata Models
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-10767-3_1
Reference151 articles.
1. Adinehvand K, Sardari D, Hosntalab M, Pouladian M (2017) An efficient multistage segmentation method for accurate hard exudates and lesion detection in digital retinal images. J Intell Fuzzy Syst 33:1639–1649. https://doi.org/10.3233/JIFS-17199
2. Agache M, Oommen BJ (2002) Generalized pursuit learning schemes: new families of continuous and discretized learning automata. IEEE Trans Syst Man Cybern Part B Cybern 32:738–749. https://doi.org/10.1109/TSMCB.2002.1049608
3. Ahangaran M, Taghizadeh N, Beigy H et al (2017) Associative cellular learning automata and its applications. Appl Soft Comput J 53:1–18. https://doi.org/10.1016/j.asoc.2016.12.006
4. Akbari Torkestani J, Meybodi MR (2010) Learning automata-based algorithms for finding minimum weakly connected dominating set in stochastic graphs. Int J Uncertain Fuzziness Knowl-Based Syst 18:721–758. https://doi.org/10.1142/S0218488510006775
5. Akbari Torkestani J, Meybodi MR (2012) A learning automata-based heuristic algorithm for solving the minimum spanning tree problem in stochastic graphs. J Supercomput 59:1035–1054. https://doi.org/10.1007/s11227-010-0484-1
Cited by 20 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. A learning automata based edge resource allocation approach for IoT-enabled smart cities;Digital Communications and Networks;2023-12
2. Auto-scaling and computation offloading in edge/cloud computing: a fuzzy Q-learning-based approach;Wireless Networks;2023-09-28
3. Finite State Automata Design using 1T1R ReRAM Crossbar;2023 21st IEEE Interregional NEWCAS Conference (NEWCAS);2023-06-26
4. Energy-aware workflow scheduling in fog computing using a hybrid chaotic algorithm;The Journal of Supercomputing;2023-05-16
5. Structural damage identification using piezoelectric impedance sensing with enhanced optimization and enriched measurements;Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023;2023-04-18
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