| 改进的BP神经网络在粮情测控中的研究与应用 |
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| 引用本文： | 张兴红,甄彤,包晖.改进的BP神经网络在粮情测控中的研究与应用[J].网络安全技术与应用,2010(5):73-75. |
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| 作者姓名： | 张兴红 甄彤 包晖 |
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| 作者单位： | 河南工业大学信息科学与工程学院,河南,450052 |
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| 基金项目： | 国家科技部河南省教育厅基金(编号:2008BADA8B03)资助 |
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| 摘 要： | 与未改进的BP算法相比,本文的方法协调了训练次数多而引起的学习效率和收敛速度之间的矛盾,提高了BP算法的熟练速度和收敛速度。实验结果也说明了该方法的快速性、有效性、稳定性。
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| 关 键 词： | 神经网络 BP算法 专家系统 粮情测控 |
Research and Application of an improved BP Neural Networks on system of Measurement and Control For Grain Storage |
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| Zhang Xinghong,Znen Tong,Bao Hui.Research and Application of an improved BP Neural Networks on system of Measurement and Control For Grain Storage[J].Net Security Technologies and Application,2010(5):73-75. |
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| Authors: | Zhang Xinghong Znen Tong Bao Hui |
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| Affiliation: | Zhang Xinghong,Zhen Tong,Bao Hui College of Information Science , Engineering,Henan University of Technology,Henan,450052,China |
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| Abstract: | Compared with the old BP algorithm,the new algorithm has improved skilled speed and convergence rate.From the esults of experiment,we can see that the new algorithm has some advantages,such as quickly,validity and practicability. |
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| Keywords: | neural network BP algorithm expert system measurement and control for grain storage |
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