| 基于自适应模糊神经系统的网络学习评价模型研究 |
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| 引用本文： | 李绍中.基于自适应模糊神经系统的网络学习评价模型研究[J].计算技术与自动化,2012,31(2):129-132. |
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| 作者姓名： | 李绍中 |
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| 作者单位： | 广州番禺职业技术学院教务处,广东,广州,511483 |
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| 基金项目： | 广东省教育厅2011年教研项目 |
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| 摘 要： | 学习评价是网络学习中十分重要的环节,为克服原有网络学习评价方法的不足,构建一种基于自适应模糊神经系统的评价模型,并进行实验仿真。测试结果表明,基于自适应模糊神经系统的网络学习评价模型提高了网络学习评价的准确率,为网络学习提供一种新评价方法。
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| 关 键 词： | 神经网络 自适应模糊神经系统 网络学习评价 |
The Research of Assessment Model for Network Learning Based on Adaptive Network-based Fuzzy Inference System |
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| Li Shao-zhong.The Research of Assessment Model for Network Learning Based on Adaptive Network-based Fuzzy Inference System[J].Computing Technology and Automation,2012,31(2):129-132. |
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| Authors: | Li Shao-zhong |
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| Affiliation: | Li Shao-zhong(Dean’s Office,Guangzhou Panyu Polytechnic,Guangzhou 511483,China) |
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| Abstract: | Assessment is the important link in Web-based learning.In order to overcome the insufficiencies of existing evaluation method used in Web-based learning,we reconstruction an evaluation model based on the Adaptive Network-based Fuzzy Inference System(ANFIS) and make some simulation experiment accordingly.The simulation results show that this new evaluation model can improve the assessment accuracy,providing a new assessment method for Web-based learning. |
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| Keywords: | artificial neural networks adaptive network-based fuzzy inference system network iearning evaluation |
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