节点文献
采用内积原理建立航空发动机神经网络辨识模型
THE SET UP OF NEURAL NETWORK IDENTIFICATION MODEL FOR AEROENGINE USING INNER PRODUCT PRINCIPLE
【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。
【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.
- 【文献出处】 推进技术 ,JOURNAL OF PROPULSION TECHNOLOGY , 编辑部邮箱 ,1998年01期
- 【分类号】V233.75
- 【被引频次】12
- 【下载频次】87