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1)  recursive interconnection network
递归互联网
2)  recurrence correlation
递归联想
1.
First,by"the Karhune-Loeve decomposition"("the K-L decomposition"),the unstable random signals of the machines are decomposed while their speedsvarying,Then,these signals are inputed as the input layer of the single-layer feed forward neural networks,and simultaneously are made the correlation learning by means of the recurrence correlation .
首先,将机械变速时的非平稳随机信号进行“Karhunen-Loeve分解”(简记为“K-t分解”),再将其作为单层前向人工神经网络的输人层输入;同时,在网络中利用递归联想进行联想学习,最后通过输出层的输出对机械变速时的运行状态进行监测。
3)  simultaneous recursion
联立递归
4)  recursive BP neural network
递归BP网
5)  Recurrent network
递归网络
1.
Dynamic modeling method of sensors based on recurrent network;
基于递归网络的传感器动态建模方法
2.
A sensitivity predictive controller with memory recurrent network for use in the comprehensive control of the water hammer and the frequency is proposed.
提出一种对水轮发电机组水压频率进行综合调节的记忆递归网络灵敏度预测控制器。
6)  recurrent neural network
递归网络
1.
There are many defects if the BP network is used to identify nonlinear plants,so the recurrent neural network is presented to identify this plant.
针对前向神经网络在非线性动态系统建模时存在的缺陷,采用递归网络(RNN)对非线性动态系统建模。
补充资料:递互
1.交替;替换。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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