A neural network approach to ABR flow control in ATM networks is proposed.
本文提出AT M网络中abr业务流量控制的一种基于神经网络方法。
A neural network approach to power transformer fault diagnosis is proposed in this paper.
提出并研究了电力变压器故障诊断的人工神经网络方法。
To solve these problems, a neural network approach for on-line industrial tracking controlling is presented.
针对这种问题，提出了一种神经网络在线工业跟踪控制方法。
This paper presents a neural network approach to computing the eigenvectors corresponding to tae largest and smallest eigenvalues of a positive matrix.
本文给出实时求解正定矩阵最小和最大特征值对应特征矢量的神经网络模型。
This paper presents a fuzzy neural network approach to short term load forecasting.
提出了一种用于短期电力负荷预报的模糊神经网络方法。
This paper presents an artificial neural network(ANN) approach to determine the time delay for a heating, ventilating, and air -conditioning(HVAC)plant to respond to control actions.
本文提出一种人工神经网络（ANN）方法，确定暖通空调（HVAC）系统对控制信号响应的时间迟延，在研究中选用了四层网络。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.
基于自适应噪声对消技术及人工神经网络(ANN)理论，提出了一种谐波电流动态检测方法。
Basing on the thought of data fusion, we propose a new approach of neural network fault diagnosis.
基于数据融合思想，提出一种新的神经网络故障诊断方法。
In this paper, the approaches for recognizing distribution of random data are discussed, and a new approach based on neural network is presented.
本文分析了随机数据分布的识别方法，并提出了基于神经网络的随机数据分布的识别方法。
A novel approach to plane fitted encoding, or the neural network approach, is presented.
提出了平面拟合编码的一种新的实现方法，即神经网络方法。
A new approach to complete coverage path planning for mobile robots, which integrates biologically inspired neural network, rolling window and heuristic searching, is presented.
基于生物激励神经网络、滚动窗口和启发式搜索，提出了一种新的完全遍历路径规划方法。
Aimed at solving the challenging problem of diagnosis for sensor bias and drift faults, a novel approach of sensor fault diagnosis based on generalized regression neural network (GRNN) is proposed.
针对诊断传感器偏置故障与漂移故障的难点问题，提出了一种基于广义回归神经网络(GRNN)的传感器故障诊断方法。
A real time modeling approach for nonlinear discrete time system is presented by using the concept of time variant recurrent neural network and the theory of two dimensional system.
利用时变反馈神经网络的概念及二维线性系统理论给出了非线性离散系统的一种实时建模方法。
A new hybrid neural networks modeling approach, named structure approaching hybrid neural network (SAHNN) is presented in this paper.
提出了一种新的混合神经网络建模方法——结构逼近式混合神经网络。
A rough neural network - based approach to determining the main airways affecting the stability of airflow in mine ventilation is put forward.
提出基于粗神经网络确定影响矿内通风风流稳定性主要风路的方法。
A novel approach to the real-time speech quality evaluation in a packet network using feed-forward multiple class random neural network (FFMCRNN) was presented.
提出了一种利用前馈随机神经网络在分组网络中进行实时语音质量评价的新方法。
A new approach to fault diagnosis of nonlinear systems, which USES multistep prediction of time series based on neural network, is presented in this paper.
提出一种新的基于神经网络多步时序预测的非线性系统故障诊断方法。
The theoretical basis of ANN is function approximation, it USES a two - level feedforward neural network to approach arbitrary function to realize better power flow control.
径向基函数神经网络的理论基础是函数逼近，用一个两层的前向网络去逼近任意函数，以更好地进行潮流控制。
In this paper a modification approach for neural network is introduced according to the analysis of the neural network separate boundary faces and the original algorithm.
文中通过对神经网络分界面以及原神经网络算法的分析，提出一种基于球领域模型的改进的神经网络算法。
In this paper, a new approach to sensor modeling based on RBF neural network is described. The construction of the neural network is simple and astringency is effective.
介绍了基于RBF神经网络的传感器建模新方法，其网络结构简单、收敛性好。
A fuzzy neural network integral sliding mode control approach was proposed.
提出了一种基于模糊神经网络的积分滑模控制算法。
This method also inaugurates a new approach for quick and precise carrying through number recognition with remaining high robustness of neural network.
并且该方法在保留神经网络高鲁棒性的同时，为快速准确地进行数字识别开辟了新的途径。
A new training approach for the training algorithm of a fully connected recurrent neural network based on the digital filter theory is proposed.
一种新的基于数字滤波器理论的全互连复值递归神经网络训练方法被提出。
The mean field annealing approach is a new neural network model, which improves simulated annealing approach greatly.
均场退火方法既可以看作是一种新的神经网络计算模型，又可视为是对模拟退火的重大改进。
A fuzzy counter propagation neural network (FCPN) based data fusion approach and a modified fuzzy counter propagation neural network (MFCPN) fusion architecture are proposed for target recognition.
针对数据融合和目标识别的特点，提出了基于模糊对向传播网络的融合目标识别方法和改进的模糊对向传播网络(MFCPN)融合结构。
The idea and formal description of channel routing are introduced, and a mean field annealing neural network approach is adopted in the problem.
介绍通道布线的思想，给出相应的形式化描述，提出一种神经网络求解算法。
Based on neural network, this paper presents a method of damage assessment of frame structures, which provides a new approach for damage assessment of structures under dynamic conditions.
提出了基于神经网络的框架结构破损评估方法，为动力条件下结构的破损评估提供了一条新的途径。
This paper presents an identification approach based on neural network method with sub-regions to identify damages in a rectangular plate using the LM optimized algorithm.
通过引入LM优化算法，针对矩形薄板中对称结构的损伤识别问题，提出了一种基于神经网络的分区域分步识别方法。
This paper presents an identification approach based on neural network method with sub-regions to identify damages in a rectangular plate using the LM optimized algorithm.
通过引入LM优化算法，针对矩形薄板中对称结构的损伤识别问题，提出了一种基于神经网络的分区域分步识别方法。
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