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。
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 .
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。
Based on artificial neural network, thermal parameter feedback analysis model of RCC dam during construction period has been established.
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。
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.
针对无线网络间切换普遍存在的乒乓运动和三方切换问题，提出一种新的基于反馈预测模型的自适应切换算法。
This paper mainly focuses on ping-ponging and tri-side-handoff problems which are common in handoff between wireless networks, putting forward an adapted algorithm based on predictive feedback model.
首先提出了该主动阻尼悬架的实现模型，该模型是在传统的液力减振器的基础上，应用半主动控制的思想，结合力反馈的原理建立起来的内部液压反馈阻尼网络模型。
And physical embodiments of the concept are proposed, which are hydraulic damping network models established on the base of inner force feedback principle and combined with semi-active control scheme.
讨论了一类二元时滞反馈人工神经网络模型。
This paper is concerned with a two-neuron artificial neural network model with delayed feedback.
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。
With the feedback behavior, the recurrent neural network can catch up with the dynamic response of the system.
目的探讨反馈人工神经网络模型预测肾综合征出血热发病率的应用前景。
Objective To study the application of back propagation artificial neural network model in prediction for incidence of hemorrhagic fever with renal syndrome.
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。
With the feedback behavior, the recursive neural network can catch up with the dynamic response of the system.
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 model contains the feedback of the state neurons and takes the form of state space representation.
针对动态信号模式分类问题，提出了一种反馈过程神经元网络模型和基于该模型的分类方法。
To solve the classification of dynamic signal, this paper proposed a feedback process neural networks model and classification methods based on this model.
研究了一类具有连续分布延时的反馈神经网络模型的周期解的存在性和全局稳定性。
Both the global exponential stability and the existence of periodic solutions for a class of recurrent neural networks with continuously distributed delays (RNNs) are studied.
结合密度演化方法，还研究了两个自相似网络流中的反馈排队模型。
The density evolution method is used to handle the self-similar queueing models.
结合遗传算法(GA)和误差反馈型神经网络(BP)，建立了优化的GA - BP神经网络预测模型，预测转炉炼钢过程钢液终点磷含量。
Combined Genetic Algorithms (ga) and back-propagation neural network (BP), an optimized GA-BP model was established to predict phosphorus content. Some data were chosen to train the network model.
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。
A flue temperature soft measurement model based on linear regression and RBF neural network was built to establish temperature feedback control.
讨论了一类具自反馈二元时滞神经网络模型的渐近行为 。
We consider a network of two neurons with feedback and delay.
然后，针对输入—输出反馈线性化得到的数学模型中的非线性项，本文利用神经网络来对该部分进行逼近。
Then a neural network is employed to approximate the non-linear component of the input-output linearized system.
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。
The algorithm used the BP neural network, and the neural network was trained by samples which were selected according to user feedback score.
根据从接收节点得到的反馈信息，提出了一个图模型来刻画基于网络编码的重传问题，并将发送节点的重传策略模型化为图中的最小团划分。
The algorithm converts surface matching problem into maximum weight clique searching problem in graph theory, and the optimal point correspondence set is represented by the maximum weight clique.
根据从接收节点得到的反馈信息，提出了一个图模型来刻画基于网络编码的重传问题，并将发送节点的重传策略模型化为图中的最小团划分。
The algorithm converts surface matching problem into maximum weight clique searching problem in graph theory, and the optimal point correspondence set is represented by the maximum weight clique.
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