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《Journal of Southwest China Normal University(Natural Science Edition)》 2014-01
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On E-Learning Evaluation Based on ANFIS Cloud Inference Network

TANG Gan-yi;LU Gui-fu;ZHOU Ming-zheng;LIU Tao;MU Lun-ke;School of Computer and Information,AnHui Polytechnic University;Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information,Ministry of Education,Nanjing University of Science and Technology;School of Information Science and Engineering,Southeast University;Fuling Transpiration Committee;  
E-learning effect evaluation is a key part of network remote teaching.Fuzzy comprehensive evaluation method is verified effective.ANFIS has advantages of fuzzy inference system and neural network learning.In this paper,cloud model has been added to ANFIS to construct ANFIS cloud inference network in which cloud has been used instead of membership function.Experimental results show that it is an effective learning evaluation method with good anti-jamming ability.
【Fund】: 安徽省自然科学基金资助项目(1308085MF95);; 安徽省教育厅教研项目(2012jyxm286);; 南京理工大学高维信息智能感知与系统教育部重点实验室开放基金资助项目(30920130122005);; 安徽工程大学教研项目(2013jyxm45)
【CateGory Index】: G434
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