Feedback neural network is one of the most important neural network, the most remarkable feature of this kind of network is the associative memory function.
反馈神经网络是神经网络中最重要的类型之一，这种网络的突出特点就是它具有联想记忆的功能。
The study of the feedback neural network, the analysis of the work principle of Hopfield neural network lead to a neural network model with chaotic character .
对反馈神经网络进行了研究，在分析现有混沌神经网络的工作原理的基础上，提出一种新的混沌神经网络模型。
This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.
提出一种具有神经网络补偿的状态反馈控制方法并用于液压伺服位置控制系统。
With the feedback behavior, the recurrent neural network can catch up with the dynamic response of the system.
由于其反馈特征，使得递归神经网络模型能获取系统的动态响应特性。
Based on artificial neural network, thermal parameter feedback analysis model of RCC dam during construction period has been established.
基于人工神经网络的方法，建立了碾压混凝土坝施工期热学参数反馈分析模型。
At the same time, we used relevance feedback and machine learning used in image retrieval. K-NN, BP neural network and support vector machine classifiers were used in experiments.
同时本文将机器学习和相关反馈结合起来用于图像检索，在实验中使用了K -NN、BP神经网络和支持向量机分类器。
In order to model and simulate systems with time-varying functions or processes, a feedback process neural network model with time-varying input and output functions is proposed.
针对输入和输出均为时变函数或过程的实际系统建模和仿真问题，提出一种输入和输出均为时变函数的反馈过程神经网络模型。
By Using an artificial neural network, the pole assignment problem of state feedback, output feedback and dynamic output feedback compensators in linear control system are discussed.
利用人工神经网络，讨论了线性定常控制系统关于状态反馈、输出反馈及动态补偿器的极点配置问题。
With the feedback behavior, the recursive neural network can catch up with the dynamic response of the system.
由于其反馈特征，使得递归神经网络模型能获取系统的动态响应。
A nonlinear direct adaptive controller based on online neural network and feedback linearization is designed by precondition of all state feedback.
在全状态反馈的前提下，设计了一种基于在线神经网络和反馈线性化的非线性直接自适应控制器。
The physical implementation of neural network follows delays of feedback signal and the application of network requires the study of the stability.
神经网络的硬件实现常伴随反馈信号的延时，网络的应用需要对具有时滞反馈网络稳定性的充分研究。
It can identify the parameters of a controlled object by forming a fake output and bring in a feedback error for performing an on-line training to decouple the neural network.
它通过构造伪输出辨识被控对象参数，引进反馈误差，实现对解耦神经网络的在线训练。
Diagonal recurrent neural network (DRNN) is a non-unity feedback network.
对角神经网络(DRNN)为非全反馈式动态神经网络。
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。
A discussion is devoted to the design of a self adaptive and nonlinear dynamic neural network inversion controller according to the feedback linearization theory.
根据反馈线性化理论，讨论了神经网络自适应非线性动态逆控制设计。
Utilize the neural network to have advantage taught oneself to practise, can reduce the error and feedback the demand for the craft data of the question greatly, and benefit systematic expansion.
利用神经网络具有自学习的优点，可以大大减少误差反馈问题对工艺数据的需求，并且便于系统的扩展。
A flue temperature soft measurement model based on linear regression and RBF neural network was built to establish temperature feedback control.
基于线性回归和RBF神经网络构建火道软测量模型，为控制建立温度反馈环节。
The neural network model contains the feedback of the state neurons and takes the form of state space representation.
该神经网络模型包含内部状态神经元的反馈并具有状态空间形式。
The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
The structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
The algorithm used the BP neural network, and the neural network was trained by samples which were selected according to user feedback score.
该算法引入BP神经网络模型，根据用户反馈分值选择样本训练神经网络。
This paper establishes dynamic forward feedback correction model with the method of combining Bayes regularization and BP neural network.
文中采用贝叶斯正则化与BP网络结合的方法，建立动态前馈校正模型。
This chaotic neural network is used to the 10-city traveling salesman problem (TSP), and the influence of trigonometric function self-feedback on TSP is analyzed.
混沌神经网络的10个城市的旅行商问题（TSP），和三角函数自反馈对TSP的影响进行了分析。
This chaotic neural network is used to the 10-city traveling salesman problem (TSP), and the influence of trigonometric function self-feedback on TSP is analyzed.
混沌神经网络的10个城市的旅行商问题（TSP），和三角函数自反馈对TSP的影响进行了分析。
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