1) compounded input DRNN
复合输入动态递归网络
2) Elman dynamic recursion network
Elman动态递归网络
1.
Based on the actual measured datum, the prediction model of the roll force for the cold tandem mill is established by using the Elman dynamic recursion network method.
采用Elman动态递归网络方法,以生产实测数据为基础,建立了冷连轧机轧制力预报模型。
2.
The authors established the shape model of cold tandem mill by Elman dynamic recursion network method, based on actual measured data.
采用Elman动态递归网络方法,以生产实测数据为基础,建立了冷连轧机板形预报模型。
3) dynamical recursive network
动态递归网络
4) recurrent dynamical network
递归动态网络
1.
From the point of view of nonlinear dynamical system, the structures and functions of recurrent dynamical networks were summarized.
从非线性动态系统的角度出发 ,对递归动态网络结构及其功能进行详尽的综述。
5) Hybrid recurrent neural network
复合递归神经网络
6) diagonal recurrent neural network
动态对角递归网络
1.
Application of diagonal recurrent neural network in power transformer fault diagnosis;
动态对角递归网络在变压器故障诊断中的应用
2.
A simple recurrent neural network named as diagonal recurrent neural network is studied in this paper.
本文介绍了动态对角递归网络,并针对BP算法收敛慢的缺点,将递推预报误差学习算法应用到神经网络权值和域值的训练。
补充资料：计算机输入/输出控制系统(见计算机输入/输出系统)
计算机输入/输出控制系统(见计算机输入/输出系统)
computer input/output control system
iisuanii shuru/shuehu kongzhi xitong计算机输入/输出控制系统(com-puter inPut/ou中ut eontrol system)见计算机输入/输出系统。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条