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- Program for training and testing the Elman Recurrent Neural Network model when used to predict has been tested. (译)：计划的培训和测试的Elman递归神经网络模型用于预测时，已经过测试。
- RNN theoretical basis with the introduction of some Recurrent Neural Networks models. 介绍一些递归神经网络模型。
- Smooth model switching scheme based on recurrent neural network model predictive control 基于递归神经网络模型预测控制的模型平稳切换
- Traffic Flow Real-time Prediction Using a Dynamic Recurrent Neural Network Model 一种基于动态递归神经网络的交通流量实时预测方法
- Polynomial Function Recurrent Neural Networks Model and Apply 多项式函数型回归神经网络模型及应用
- A ramose input an d multi-output dynamic recurrent neural , network model RDRNN is presented in the , paper. 提出了一种多输入多输出分支动态递归神经网络模型，利用梯度下降法推导了网络权值调整公式。
- recurrent neural network model 回归神经网络模型
- This paper presents an adaptive congestion control model in ATM networks at the user to network interface by using a diagonal recurrent neural network (DRNN) as an predictor. 提出一种在用户-网络接口处利用对角递归神经网络(DRNN)作为自适应预测器，实现ATM网络自适应拥塞控制的模型。
- ESN (Echo state network) is a new type of RNN (recurrent neural network) based on the "reservoir". 该方法基于一种具备“储备池”机制的新型递归神经网络：回声状态网络(ESN)。
- The network was compared with recurrent neural network (RNN) by predicting exhaust gas temperature (EGT). 分别利用递归神经网络和双隐层过程神经网络对发动机排气温度裕度进行仿真预测。
- By using the dynamic mapping ability of recurrent neural network (RNN), the identifier of ASVG is constructed. 利用递归神经网络的动态映射能力，实现了静止无功发生器的递归神经网络建模，构造了ASVG递归神经网络模型。
- The Cayley Neural Network Model:To Recognize 256-Level Color Patterns[J]. 引用该论文 帅建伟;陈振湘;刘瑞堂;吴伯僖.
- The dynamic recurrent neural network is analyzed, andhow to use it for system identification is also analyzed. 对所提出的动态递归神经网络进行了分析,以及如何利用它们来进行系统辨识。
- Evaluation of Positive-Complemental optical neural network model[J]. 引用该论文 朱伟利;陈岩松;李德华.
- A novel fast convergence blind equalization algorithm based on recurrent neural network is proposed. 提出了一种新的基于递归神经网络的快速收敛盲均衡算法。
- Modified multivalue neural network model and the optical implementation[J]. 引用该论文 朱伟利;陈岩松.
- As a new type of recurrent neural network,echo state network(ESN) is applied to nonlinear system identification and chaotic time series prediction. ESN(回声状态网络)是一种新型的递归神经网络;可有效处理非线性系统辨识以及混沌时间序列预测问题.
- RPE (recursive prediction error) algorithm with the advantage of fast convergence is applied to training the recurrent neural network. 采用递推预报误差算法训练神经网络，具有收敛速度快、收敛精度高的特点。
- Convergent rate of certain neural network models s. N. 一类神经网络模型的平衡点的收敛速率。
- For the white-box optimization，the merits and demerits of EA and Recurrent Neural Network（RNN），and the survey on popular EAs and their common improvements are discussed. 对于白箱优化问题，阐述了进化算法与反馈神经网络的优缺点和目前流行的进化算法及其通用改进策略。
