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。
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。
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。
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。
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。
The approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
This approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
The first modeling approach is artificial neural network (NN).
第一种建模方法为人工神经网络模型。
Artificial neural network offers a new approach to its study and prediction of membrane fouling, which is an effective tool to optimize membrane bioreactor operating conditions.
人工神经网络为膜生物反应器膜污染预测的研究提供了新的思路，是膜生物反应器优化控制的有效工具。
Artificial neural network series models break a new approach for stochastic modeling in computing design flood.
人工神经网络时序模型开辟了随机模拟法在设计洪水计算中应用研究的新途径。
According to the basic feature of the settlement of soft ground, in this paper it presents a new artificial neural network-based (ANN) approach to predict settlement of soft ground.
根据软土地基沉降的基本特征，提出了一种基于人工神经网络(ANN)技术的软土地基沉降预测新方法。
According to the approach ability of artificial neural network, a novel transformer protection based on the artificial neural network model is proposed.
依据人工神经网络的逼近能力，提出了一种基于人工神经网络模型的变压器保护新原理。
It is shown that the artificial neural network technics is a new approach to develop ATCS for EVA space suits.
结果表明，人工神经网络技术为解决舱外航天服自动温度控制提供了一条新途径。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
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