FORGETTING

作品数:46被引量:38H指数:3
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相关领域:自动化与计算机技术更多>>
相关作者:平萍贾敏郭海燕石乐波杨炤宇更多>>
相关机构:对外经济贸易大学安庆师范大学浙江海洋大学首钢工学院更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金更多>>
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Deep learning algorithm featuring continuous learning for modulation classifications in wireless networks
《太赫兹科学与电子信息学报》2024年第2期209-218,共10页WU Nan SUN Yu WANG Xudong 
Although modulation classification based on deep neural network can achieve high Modulation Classification(MC)accuracies,catastrophic forgetting will occur when the neural network model continues to learn new tasks.In...
关键词:Deep Learning(DL) modulation classification continuous learning catastrophic forgetting cognitive radio communications 
基于零维碳量子点/二维MoS2混合维异质结晶体管的视觉失忆脉冲光电治疗模拟被引量:1
《Science China Materials》2023年第12期4814-4824,共11页谢叮咚 李幼真 何军 蒋杰 
supported by Hunan Science Fund for Distinguished Young Scholars(2023JJ10069);the National Natural Science Foundation of China(52172169).
失忆症是一种临床常见的疾病,表现为近期记忆的丧失以及获得新记忆能力的全面受损,它严重影响了人类的正常生活.目前,虽然草药干预、蛋白质合成抑制和激素替代可以预防或逆转失忆行为,但这些疗法都相对昂贵且效率低下.本文利用一种先进...
关键词:pulsatile photoelectric therapy neuromorphic device reconfigurable memorizing and forgetting visual memory consolidation AMNESIA 
Exercise Recommendation with Preferences and Expectations Based on Ability Computation
《Computers, Materials & Continua》2023年第10期263-284,共22页Mengjuan Li Lei Niu 
supported by the National Natural Science Foundation of China(No.62006090);Research Funds of Central China Normal University(CCNU)under Grants 31101222211 and 31101222212.
In the era of artificial intelligence,cognitive computing,based on cognitive science;and supported by machine learning and big data,brings personalization into every corner of our social life.Recommendation systems ar...
关键词:Cognitive computing personalized learning forgetting behavior exercise recommendation 
“Here Comes the New”:Individual and Collective Forgetting in Toni Morrison’s Jazz
《Journal of Literature and Art Studies》2023年第7期469-476,共8页Grzegorz Kotecki 
This article examines the problem of individual and collective attempts at forgetting the traumatic past in Toni Morrison’s sixth novel Jazz(1992).More specifically,it emphasizes by selected examples psychological an...
关键词:FORGETTING HISTORY JAZZ (the)past Toni Morrison 
Continual learning fault diagnosis:A dual-branch adaptive aggregation residual network for fault diagnosis with machine increments被引量:2
《Chinese Journal of Aeronautics》2023年第6期361-377,共17页Bojian CHEN Changqing SHEN Juanjuan SHI Lin KONG Luyang TAN Dong WANG Zhongkui ZHU 
supported by the National Natural Science Foundation of China(Nos.52272440,51875375);the China Postdoctoral Science Foundation Funded Project(No.2021M701503).
As a data-driven approach, Deep Learning(DL)-based fault diagnosis methods need to collect the relatively comprehensive data on machine fault types to achieve satisfactory performance. A mechanical system may include ...
关键词:Catastrophic forgetting Continual learning Fault diagnosis Knowledge distillation Machine increments Stability-plasticity dilemma 
Incremental Learning Based on Data Translation and Knowledge Distillation
《International Journal of Intelligence Science》2023年第2期33-47,共15页Tan Cheng Jielong Wang 
Recently, deep convolutional neural networks (DCNNs) have achieved remarkable results in image classification tasks. Despite convolutional networks’ great successes, their training process relies on a large amount of...
关键词:Incremental Domain Learning Data Translation Knowledge Distillation Cat-astrophic Forgetting 
KG-based memory recommendation algorithm for learning path
《The Journal of China Universities of Posts and Telecommunications》2023年第2期36-48,共13页Wang Danzhi Xiang Jianxin Cui Yansong 
In intelligent education,most student-oriented learning path recommendation algorithms are based on either collaborative filtering methods or a 0-1 scoring cognitive diagnosis model.Unfortunately,they fail to provide ...
关键词:learning path recommendation knowledge graph cognitive diagnosis human forgetting phenomenon 
Squeezing More Past Knowledge for Online Class-Incremental Continual Learning被引量:1
《IEEE/CAA Journal of Automatica Sinica》2023年第3期722-736,共15页Da Yu Mingyi Zhang Mantian Li Fusheng Zha Junge Zhang Lining Sun Kaiqi Huang 
supported in part by the National Natura Science Foundation of China(U2013602,61876181,51521003);the Nationa Key R&D Program of China(2020YFB13134);Shenzhen Science and Technology Research and Development Foundation(JCYJ20190813171009236);Beijing Nova Program of Science and Technology(Z191100001119043);the Youth Innovation Promotion Association,Chinese Academy of Sciences。
Continual learning(CL)studies the problem of learning to accumulate knowledge over time from a stream of data.A crucial challenge is that neural networks suffer from performance degradation on previously seen data,kno...
关键词:Catastrophic forgetting class-incremental learning continual learning(CL) experience replay 
Deep knowledge tracking algorithm based on forgetting law
《The Journal of China Universities of Posts and Telecommunications》2023年第1期17-27,共11页Guo Xiangbo Wang Jian Huang Mengjie Wang Minghui Yang Jian Yu Yongtao 
supported by the National Natural Science Foundation of China(61972133);Plan for“1125”Innovation Leading Talent of Zhengzhou City(2019);the Opening Foundation of Yunnan Key Laboratory of Smart City in Cyberspace Security(202105AG070010);Zhengzhou University Professors’Assisting Enterprises’Innovation-Driven Development Project(32213409)。
Knowledge tracking(KT)algorithm,which can model the cognitive level of learners,is a fundamental artificial intelligence approach to solve the personalized learning problem in the field of education.The recently prese...
关键词:KNOWLEDGE tracking NEURAL network ATTENTION mechanism PERSONALIZED learning Ebbinghaus' LAW of FORGETTING 
Evidence for the effect of brief exposure to food,but not learning interference,on maze solving in desert ants
《Integrative Zoology》2022年第5期704-714,共11页Tomer GILAD Arik DORFMAN Aziz SUBACH Romain LIBBRECHT Susanne FOITZIK Inon SCHARF 
We thank the German Research Foundation for funding this research project(DFG;grant no.FO 298/31-1).
Theories of forgetting highlight 2 active mechanisms through which animals forget prior knowledge by recipro-cal disruption of memories.According to“proactive interference,”information learned previously interferes ...
关键词:binary-tree maze desert ants FORGETTING memory MOTIVATION 
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