When by neural network approach, it is 94%, 80%, and 92%, respectively.
而人工神经网络法的预测正确率分别为94%、80 %和92 %。
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。
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。
Our results show that the neural network approach for classification has some a...
分类结果表明，用神经网络方法进行分类具有分类稳定、结果可靠等特点。
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 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。
An artificial neural network approach for predicting macroeconomics is presented in this paper.
人工神经网络应用于宏观经济预测具有广泛的实际应用前景。
In this paper, an RBF neural network approach is applied to aeroengine gas path fault diagnosis.
本文将径向基函数(RBF)神经网络应用到航空发动机故障诊断中。
An artificial neural network approach is presented to solve the problem of terrain surface construction.
提出用神经网络方法解决地形面的曲面构造问题。
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。
Many methods such as Fuzzy Control Approach and Neural Network Approach are already used in elevator group dispatch.
在电梯群调度上已提出了模糊控制法、神经网络法等多种应用到实际中去的方法。
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。
The results show that artificial neural network approach is objective, quite satisfactory and tendency might serve as an effective technique fo…
结果表明，该方法简便实用，性能良好，可望成为岩石， 矿物识别的一种有效的辅助手段。
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。
Results showed that the neural network approach is good, and might be referred as an effective technique for prediction of the liquefaction of sandy soil.
研究表明，人工神经网络方法性能良好，可望成为砂土液化预测的有效手段。
This paper describes the problem in the BP neural network approach and the approach of BP neural network based on vector information to the classification of remote sensing images.
由于传统遥感影像分类方法存在不足，因而采用神经网络算法进行遥感影像分类研究。
Simulation results show that the excellent effect of mitigating cable vibration can be acquired with the neural network approach of semi-active control and that the approach is feasible.
仿真结果显示，采用神经网络半主动控制能取得很好的减振效果，证明该方法是可行的。
After wavelet analysis extracts feature vectors, the paper constructs corresponding neural network for fault identification, and designs the combination of wavelet and neural network approach.
本文针对小波分析之后提取的特征向量，构建了与之相适应的神经网络进行故障识别，并对小波和神经网络的结合方式进行了设计。
The results indicated that the performance of the neural network approach is good, and therefore it might be referred as an effective assistant technique for synthetic prediction of earthquakes.
结果表明，神经网络方法性能较好，可望成为地震实际预报的一种有效的辅助手段。
The results show that the performance of the artificial neural network approach is good, and therefore it might be referred as an effective tool for prediction of the type of earthquake sequences.
结果表明，人工神经网络方法性能良好，可望成为地震序列类型预测的有效工具。
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。
AN approach of measuring harmonics in power system based on artificial neural network (ANN) is put forward in this paper.
提出了一种基于人工神经元网络(ANN)的电力系统谐波测量方法。
Based on the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
基于人工神经网络(ANN)理论，提出一种利用ANN来模拟信号传播延迟、载波相位、信号功率等参量的方法。
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。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, an approach for harmonics detection and analysis is presented.
基于自适应噪声抵消方法和人工神经网络(ANN)理论，提出一种谐波电流检测分析方法。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, an approach for harmonics detection and analysis is presented.
基于自适应噪声抵消方法和人工神经网络(ANN)理论，提出一种谐波电流检测分析方法。
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