| 采用内积原理建立航空发动机神经网络辨识模型 |
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| 引用本文： | 谢寿生,樊思齐. 采用内积原理建立航空发动机神经网络辨识模型[J]. 推进技术, 1998, 19(1): 12-16 |
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| 作者姓名： | 谢寿生 樊思齐 |
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| 作者单位： | 西北工业大学航空动力与热力工程系,西安,710072 |
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| 摘 要： | 根据样本空间的内积特性，提出一种无需迭代学习内积神经网络。以某型航空发动机的机载记录数据为例，对发动机进行了建模，结果表明该方法具有自学习速度快、抗干扰能力强、准确性高的特点。
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| 关 键 词： | 航空发动机，模型研究，数学模型，网络 |
| 修稿时间： | 1997-04-09 |
THE SET UP OF NEURAL NETWORK IDENTIFICATION MODEL FOR AEROENGINE USING INNER PRODUCT PRINCIPLE |
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| Xie Shousheng and Fan Siqi. THE SET UP OF NEURAL NETWORK IDENTIFICATION MODEL FOR AEROENGINE USING INNER PRODUCT PRINCIPLE[J]. Journal of Propulsion Technology, 1998, 19(1): 12-16 |
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| Authors: | Xie Shousheng and Fan Siqi |
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| Abstract: | According to the inner product feature of sample space,a new neural network which does not require to learn iteratively,is set up for a aeroengine in terms of data recorded on a plane.The results show that the new method has the advantage of faster self taught ability,higher accuracy,stronger anti interference ability and less maintenance work. |
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| Keywords: | Aircraft engine Model study Mathematical model Network |
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