最近，大量的模拟研究揭示了一个基于神经网络的方法，直接自适应控制在飞行控制系统的设计带来的潜在利益。
Numerous simulation studies have recently revealed the potential benefits of a neural network-based approach to direct adaptive control in the design of flight control systems.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
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 the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
本文描述了一个基于相关特征矩阵和神经网络的异常检测方法。
This article presents a anomaly detection method based on correlation eigen matrix and neural network.
提出了一种基于纹理特征提取的图像处理技术和神经网络结合进行钢丝绳检测的新方法。
A new method of picking up the texture characteristics and using neural network to inspect the condition of steel wire rope is provided.
本文提出了一种基于粗集理论与神经网络相结合的供应商优化选择新方法。
In this paper based on rough sets theory and neural network a new optimizing method of supplier 's choice is put forward.
论文将基于神经网络算法补偿传感器测量误差的方法，应用到水利测量技术中。
The method which sensor error is compensated with the artifical neural network algorithms is applied to the hydraulic measurement technique.
基于人工神经网络技术的结构损伤识别方法是大型土木工程结构损伤识别的有效方法，可在工程结构损伤识别中广泛应用。
The method of identification of structural damage based on ANN is an effective measurement to identify the structural damage, which can be widely used in practical engineering.
本文首先采用非统计的方法给出了基于神经网络的无损数据压缩新方案。
First, the new scheme of a lossless data compression based on neural network is given by using non-statistical method.
本文提出了一种基于神经网络改进算法的机器人逆运动学的求解方法。
A new method of solving inverse kinematics of robots based on improvement of neural networks is presented in this paper.
在该系统中采用基于LEA判别法的梯度牛顿有效结合神经网络快速学习方法。
The LEA decision method has been given so that grads methods and Newton methods can be effectively combined in neural networks learning.
提出了一种基于神经网络扰动补偿的姿态控制方法。
This paper presents a control scheme based on NN disturbance compensation for attitude control of satellite.
本文提出了一种基于改进的神经网络(MNN)的自适应闭环功率控制算法，该方法平滑了移动信道衰落的影响，使基站接收到的小区中所有用户的信号功率相等。
In this paper, a Modified Neural Network (MNN) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.
本文通过对神经网络的研究，提出了基于神经网络的故障诊断方法。
In this paper, neural network is studied and a fault diagnosis method based on neural network is presented.
从分析测试热像仪性能参数MRTD的主观方法入手，提出了一种基于神经网络用面阵CCD测量MRTD的客观方法。
This text begins with the analysis of subjective method testings MRTD, brings up an objective method based on Artificial Neural Network and used planar CCD to measure MRTD.
本文介绍了一种基于人工神经网络的同步电机转子短路故障的在线诊断方法。
This paper presented the establishment method of the Operating Logic Function for the electric equipment of substation.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
现提出一种基于BP神经网络的线性预测系数的求解方法。
In this paper, a method of the calculation of LPC coefficients is proposed by use of BP neural network.
本文提出了一种基于神经网络的图像KL变换的改进方法。
This paper introduces an improved method for image KL transform based on neural networks.
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。
In this paper, the approaches for recognizing distribution of random data are discussed, and a new approach based on neural network is presented.
本文提出用基于模型的神经网络方法来解决这一问题。
To solve this problem, a model based neural network method is presented.
传统的基于神经网络的图像KL变换方法存在一些不足。
There are some shortcomings for the conventional image KL transforms based on neural networks.
结果表明，基于结构的神经网络建模方法对复杂非线性系统建模是有效的。
The result shows that the modeling method using architecture based neural networks is suitable to the modeling of complex nonlinear system.
运用神经网络和模糊数学方法，建立基于模糊和神经网络的炸药与岩石匹配优化系统，并应用于工程实践。
The matching and optimizing system of rock and explosive based on fuzzy integration judge and neural network is established by use of neural network and fuzzy mathematical method.
在分析传统机器人位姿标定方法的基础上，提出了一种新的机器人标定方法：基于神经网络的逆标定方法。
An innovative robot calibration approach: inverse robot calibration based on neural network, is proposed in this paper, based on the analysis of traditional calibration approach.
并且对基于神经网络的组合预测方法进行了研究，提出了一个神经网络和指数平滑模型组合运用的预测算法。
After study of the combined forecasting methods based on the ANN theory, it is put foreword that Exponential-Smooth (ES) and ANN combine a new prediction algorithm.
建立了一个基于人工神经网络方法的定量结构-性质相关性(QSPR)研究模型，用于预测脂肪醉闪点。
A quantitative structure-property relationship (QSPR) model based on artificial neural networks was established to predict the flash points of fatty alcohols.
提出了基于优化神经网络的迭代预测方法。
Prediction method based on optimized neural Network is put forward.
提出了基于优化神经网络的迭代预测方法。
Prediction method based on optimized neural Network is put forward.
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