| 模糊神经网络在课堂教学质量评价中的应用 |
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| 引用本文： | 周世官,苏日娜.模糊神经网络在课堂教学质量评价中的应用[J].计算机仿真,2008,25(5):287-289. |
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| 作者姓名： | 周世官 苏日娜 |
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| 作者单位： | 宁波工程学院电子与信息工程学院,浙江,宁波,315016 |
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| 基金项目： | 浙江省教育科学规划项目 |
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| 摘 要： | 为解决课堂教学质量的评价工作量大、统计繁琐等问题,并考虑到神经网络用于教学质量评价的进步性和局限性,基于教学过程中存在大量模糊信息的特征,以及模糊神经网络是模糊逻辑和神经网络有机地结合,并汇集了各自的优点,集学习、联想、识别、自适应及模糊信息处理于一体特点,提出了用模糊神经网络来评价教师的课堂教学质量的方法,仿真计算表明,采用数学模型具有较好的评价效果.同其他方法相比,具有科学、简洁、可操作性强等特点,而且模型的结构与方法应用前景广阔.
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| 关 键 词： | 教学质量 评价 模糊神经网络 |
Application of Fuzzy Neural Network in The Quality Evaluation of Classroom Teaching |
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| ZHOU Shi-guan,SU Ri-na.Application of Fuzzy Neural Network in The Quality Evaluation of Classroom Teaching[J].Computer Simulation,2008,25(5):287-289. |
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| Authors: | ZHOU Shi-guan SU Ri-na |
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| Affiliation: | ZHOU Shi-guan,SU Ri-na (Ningbo University of Technology,Ningbo Zhejinag 315016,China) |
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| Abstract: | In order to solve the problem of how to evaluate the classroom teaching quality, a method based on fuzzy neural network is proposed, The simulation computation indicates that this mathematical model has better appraisal effect. Compared with other methods, this method is scientific, simple and operable, and its structure and method will have a bright future. |
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| Keywords: | Teaching quality Evaluation Fuzzy neural network |
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