Application and Study on Neural Fuzzy Comprehensive Appraisement Method

机译：神经模糊综合评估方法的应用与研究

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A combination point is tried to find by studying theory of neural network and fuzzy sets. Combined neural network and fuzzy sets to form a new method, that is, neural fuzzy comprehensive appraisement. Appling this method in ICAI system, gave a new evaluation model on student's cognitive level. The model uses BP-neural network and its algorithm in traditional fuzzy comprehensive appraisement, which effectively judges the students' cognitive ability and level. And realizes certain intelligence.

机译：通过研究神经网络和模糊集的理论，尝试找到组合点。组合神经网络和模糊集形成新方法，即神经模糊综合评价。在ICAI系统中应用这种方法，对学生的认知水平进行了新的评估模型。该模型采用BP-Neural网络及其在传统模糊综合评估中的算法，有效地判断学生的认知能力和水平。并意识到某些智慧。

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《International Conference on Universal Digital Library》|2005年||共5页
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作者
HU Yan; ZHANG Zhi-qin; Minstry of Education(MOE) of China; US National Science Foundation(NSF); Indian Institute of Science(IISc);
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中图分类电子图书馆、数字图书馆;
关键词
BP- neural network; fuzzy comprehensive appraisement; cognitive level; evaluation model;

机译：BP-神经网络;模糊综合评估;认知水平;评估模型;

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Application and Study on Neural Fuzzy Comprehensive Appraisement Method

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