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...
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...
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...
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 ...
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...
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 ...
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...
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...
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 ...