| 基于量子—BP神经网络的教学评价研究 |
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| 引用本文： | 冉燕辉. 基于量子—BP神经网络的教学评价研究[J]. 黑龙江电子技术, 2014, 0(5): 121-123 |
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| 作者姓名： | 冉燕辉 |
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| 作者单位： | 重庆师范大学计算机与信息科学学院,重庆401331 |
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| 摘 要： | 将量子计算和BP神经网络相结合,产生一种新的量子—BP神经网络的方法,并将该方法应用于教学评价中,应用量子—BP神经网络的方法构建教学评价系统模型,进而对教学质量进行评价。通过实证分析,得到了满意的评价结果,说明该方法具有一定的可行性和实用性。
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| 关 键 词： | 量子计算 BP神经网络 教学评价 |
Research on teaching evaluation based on quantum BP neural network |
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| RAN Yan-hui. Research on teaching evaluation based on quantum BP neural network[J]. , 2014, 0(5): 121-123 |
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| Authors: | RAN Yan-hui |
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| Affiliation: | RAN Yan-hui ( School of Computer and Information Science, Chongqing Normal University, Chongqing 401331, China) |
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| Abstract: | This paper combines the quantum computing and the BP neural network to produce a new method—the quantum BP neural network,and applies it to the teaching evaluation,uses the quantum BP neural network to establish the teaching evaluation system model and then evaluate the teaching quality. The empirical analysis gets the satisfaction evaluation result,and proves that this method is a feasible way to do the teaching evaluation. |
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| Keywords: | quantum computing BP neural network teaching evaluation |
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