A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s12559-022-10084-6.pdf
Reference71 articles.
1. Dargan S, Kumar M, Ayyagari MR, Kumar G. A survey of deep learning and its applications: A new paradigm to machine learning. Archives of Computational Methods in Engineering. 2020;27:1071–92.
2. Merzoug MA, Mostefaoui A, Kechout MH, Tamraoui S. Deep learning for resource-limited devices. In: Proc. of the ACM Symposium on QoS and Security for Wireless and Mobile Networks, New York, NY, USA, pp. 81–87. Association for Computing Machinery; 2020.
3. Choudhary T, Mishra V, Goswami A, Sarangapani J. A comprehensive survey on model compression and acceleration. Artif Intell Rev. 2020;1–43.
4. Angermueller C, Pärnamaa T, Parts L, Stegle O. Deep learning for computational biology. Mol Syst Biol. 2016;12(7), 878.
5. Mahmud M, Kaiser MS, McGinnity TM, Hussain A. Deep learning in mining biological data. Cogn Comput. 2021;13(1):1–33.
Cited by 10 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. BP neural network multi-module green roof thermal performance prediction model optimized based on sparrow search algorithm;Journal of Building Engineering;2024-11
2. Improving recognition of deteriorated historical Persian geometric patterns by fusion decision methods;Neural Computing and Applications;2024-06-01
3. Training a shallow NN to erase ink seepage in historical manuscripts based on a degradation model;Neural Computing and Applications;2024-01-12
4. Multi-Mind Dynamics in Intentional Agents;Communications in Computer and Information Science;2024
5. Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing;Expert Systems with Applications;2023-12
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