神经反馈,neural feedback
1)neural feedback神经反馈
1.The present paper deals with the Hopf bifurcation for recurrentneural feedback systems with delay.研究时滞回归神经反馈系统， 给出该系统的稳定性及 Ｈｏｐｆ 分支存在的条件。
2)recurrent neural networks反馈神经网络
1.An alternative dynamic data rectification method based onrecurrent neural networks(RNN)was studied in detail.对基于反馈神经网络的化工过程动态数据校正方法进行了研究,实现了自反馈增益的网络结构和动态反向传播算法。
2.The method ofrecurrent neural networks approximation is used in nonlinear discrete_time systems.对反馈神经网络近似非线性离散系统的能力进行了扩展研究 ,针对于更普遍的非线性时变离散系统 ,证明了它们在有限时间段内的输出轨迹可以被反馈神经网络输出神经元的状态向量近似到任何程度。
3.Starting from the universal approximation theorem of multilayered feed forward neural networks,this paper proves that the finite time trajectory of nonlinear continuous time system with input can be approximated by the state vector of the output units of a class ofrecurrent neural networks.本文从多层前馈神经网络的一般近似定理出发 ,证明了带有输入的非线性连续系统在有限时间段内的输出轨迹可以被一类反馈神经网络输出神经元的状态向量近似到任何程度 。
英文短句/例句
1.The Feedback Neural Network Application on Thermal System Modeling反馈神经网络在热工系统建模中的应用
2.Feedback neural network application in multi input-output dynamic systems modeling反馈神经网络用于多输入输出动态系统建模
3.Critical Analysis of Recurrent Neural Networks with Nearest Point Projection最近点投影型反馈神经网络的临界分析
4.Structure Design, Learning Algorithms and Applications of Recurrent Neural Networks;反馈神经网络的结构设计、学习算法及其应用研究
5.Classification Research on the Regional Flows of University Graduates" Employment Based on Recurrent Neural Network基于反馈神经网络的高校毕业生就业区域流向分类研究
6.This paper is concerned with a two-neuron artificial neural network model with delayed feedback.讨论了一类二元时滞反馈人工神经网络模型。
7.High-Order Back-Forward Neural Network and Its Application for Optimization Computing高阶反馈型神经网络及其在优化计算中的应用
8.Synchronization of Neural Networks with Time-Varying Delays by Decentralized Linear-Feedback Control;一类具时变时滞神经网络的分散线性反馈同步
9.The Research of State Feedback Control System Based on Neural Network基于神经网络的状态反馈控制系统的研究
10.On the Energy Function of Chaotic Neural Networks with Trigonometric Function Self-feedback三角函数自反馈混沌神经网络能量函数研究
11.Chaotic Neural Network with Self-feedback of Trigonometric Function and Its Application三角函数自反馈混沌神经网络及其应用
12.Observer–based, Adaptive Neural Networks Backstepping Output Feedback Control基于观测器的自适应神经网络Backstepping输出反馈控制
13.Adaptive neural network control of pure-feedback nonlinear discrete-time systems纯反馈非线性离散系统的自适应神经网络控制
14.Study and Design on Fusion of QFT and PID Based on BP Neural Network定量反馈理论和神经网络的融合控制与仿真
15.Research on Feedback Control Approach with Sample Future Remem bering in Recurrent Neural Network回归神经网络中样本特征记忆的反馈控制方法研究
16.The Optimization of Feedback Analysis of Foundation Engineering Based on GA-ANN基于遗传神经网络算法的基坑工程优化反馈分析
17.Bifurcation and Stability Analysis of Annular Delayed Cellular Neural Networks with Self-connection带自反馈环状时滞细胞神经网络的分支与稳定性分析
18.NN-based Adaptive Output Feedback Control of Ship Course基于神经网络的船舶航向自适应输出反馈控制设计
相关短句/例句
recurrent neural networks反馈神经网络
1.An alternative dynamic data rectification method based onrecurrent neural networks(RNN)was studied in detail.对基于反馈神经网络的化工过程动态数据校正方法进行了研究,实现了自反馈增益的网络结构和动态反向传播算法。
2.The method ofrecurrent neural networks approximation is used in nonlinear discrete_time systems.对反馈神经网络近似非线性离散系统的能力进行了扩展研究 ,针对于更普遍的非线性时变离散系统 ,证明了它们在有限时间段内的输出轨迹可以被反馈神经网络输出神经元的状态向量近似到任何程度。
3.Starting from the universal approximation theorem of multilayered feed forward neural networks,this paper proves that the finite time trajectory of nonlinear continuous time system with input can be approximated by the state vector of the output units of a class ofrecurrent neural networks.本文从多层前馈神经网络的一般近似定理出发 ,证明了带有输入的非线性连续系统在有限时间段内的输出轨迹可以被一类反馈神经网络输出神经元的状态向量近似到任何程度 。
3)recurrent neural network反馈神经网络
1.Study ofrecurrent neural network based on kernel independent component analysis and its application;核特征抽取的反馈神经网络的探索及应用
2.Exponential stability and existence of periodic solutions for a class ofrecurrent neural networks with delays;时滞反馈神经网络模型的周期解的存在性和全局稳定性(英文)
3.According to the research of therecurrent neural network control method application to aeroengines,the system based on recurrent network is built.根据反馈神经网络控制方法在发动机控制系统中的应用研究,建立了基于反馈网络的发动机控制系统。
4)feedback neural network反馈神经网络
1.Effects of the learning algorithmon the faulty behavior offeedback neural networks;学习算法对反馈神经网络故障性能的影响
2.Method of anomaly detection based onfeedback neural network;一种基于反馈神经网络的异常检测方法
3.Image Blind Separation Based on Feedback Neural Network;基于反馈神经网络的图像盲分离
5)Hopfield feedback neural networkHopfield反馈神经网络
6)Elman feedback neutral networkElman反馈神经网络
延伸阅读
CT导向腹腔神经节和内脏神经松解术CT导向腹腔神经节和内脏神经松解术介入放射学技术。内脏神经松解术治疗上腹痛首先由Kappis等(19)报道，此后它和腹腔神经节松解术主要用于治疗胰腺癌、腹部其他恶性肿瘤或胰腺炎引起的顽固性腹痛。目前用CT导向进针向腹腔神经节或内脏神经丛注射无水酒精20～25ml(每18～22ml酒精加2～3ml碘酞葡胺)，然后经CT扫描确定酒精分布范围。如果肿瘤浸润进展疼痛复发，可重复进行这种治疗。
