| BP神经网络在专家系统开发中的研究与应用 |
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| 引用本文： | 杨朔,姚寿广,刘宏伟,蒋磊.BP神经网络在专家系统开发中的研究与应用[J].科学技术与工程,2007,7(21):5580-5583. |
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| 作者姓名： | 杨朔 姚寿广 刘宏伟 蒋磊 |
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| 作者单位： | 江苏科技大学,机械与动力工程学院,镇江,212003 |
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| 摘 要： | 针对专家系统开发过程中遇到的"知识瓶颈"问题,提出了神经网络与专家系统相结合的方法,利用神经网络训练和学习得到的故障数据来丰富专家系统的知识库,提高专家系统诊断的准确性。基于某型燃气轮机对此方法进行了验证,结果证明这种方法是可行的。
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| 关 键 词： | BP神经网络 专家系统 燃气轮机 |
| 文章编号： | 1671-1819（2007）21-5580-04 |
| 修稿时间： | 2007-07-09 |
Research and Application of BP Neural Network on the Development of Expert System |
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| YANG Shuo,YAO Shou-guang,LIU Hong-wei,JIANG Lei.Research and Application of BP Neural Network on the Development of Expert System[J].Science Technology and Engineering,2007,7(21):5580-5583. |
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| Authors: | YANG Shuo YAO Shou-guang LIU Hong-wei JIANG Lei |
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| Institution: | School of Mechanical and Power Eng. ,Jiangsu University of Science and Technology,Zhenjiang 212003 ,P. R. China |
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| Abstract: | The method of combining neural network and expert system to solve the problem of lack of knowledge during developing expert system is put forward.The fault data trained from neural network to enrich the knowledge base of expert system and to enhance the veracity of diagnosis system is used.Meanwhile,the method on the gas turbine is practiced,and the result proves that the method is feasible. |
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| Keywords: | BP neural network expert system gas turbine |
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