ADALINE neural network algorithm for the realization of the traditional algorithms for optimization!
ADALINE神经网络算法的实现，对传统算法进行了优化！
A new kind of ANN filter algorithm for microcomputer protection based on the ADALINE model is described.
介绍一种新的、适用于微机保护的神经网络滤波算法，该算法采用ADALINE模型和LMS学习机制。
This paper introduces a method based on the combination of spectral subtraction and adaline linear neural networks in the enhancement of Chinese whispered speech.
论文针对带噪的耳语音提出了一种利用ADALINE神经网络消除背景噪声的耳语音增强算法。
In this paper, application of RBF neural network and Adaline neural network for nonstationary time series forecasting is discussed, and they have been successfully applied to the vibration forecasting of centrifugal compressor.
本文研究了基于RBF神经网络和Adaline神经网络的非平稳时间序列预测理论，并将其应用于离心压缩机转子振动状态的预测。
ADALINE neural network algorithm source code, while providing algorithm demo source code.
详细说明：ADALINE神经网络算法源程序，同时提供算法的演示源程序。
Adaline has a high capacity to store patterns.
Adaline具有高容量来存储模式。
Aiming at the phase delay phenomenon occurs in electrohydraulic servo system corresponding to a sinusoidal input, based on Adaline neural network, adaptive phase corrector was designed for eliminating phase delay using LMS adaptive filtering algorithm.
针对电液伺服系统正弦响应中存在相位滞后的现象，基于Adaline神经网络，使用LMS自适应滤波算法设计了自适应相位纠偏器。
ADALINE and Its Application in Power Quality Disturbances Detection and Frequency Tracking
自适应线性神经元在电能质量扰动诊断和频率跟踪中的应用
Feedforward neural networks of FEL control strategy was designed, using ADALINE neural networks, normalized LMS, plus characteristics of sinusoidal function.
利用ADALINE神经网络、归一化LMS算法、结合正弦函数的特点，设计FEL控制策略中的前馈神经网络。
Harmonic analysis approach using enhanced Adaline neural network
增强型Adaline神经网络谐波分析方法研究
Simulation study of stochastic approximation LMS algorithm of Adaline neural network
Adaline神经网络随机逼近LMS算法的仿真研究
Preview Feedforward Compensation of Linear Permanent Magnet Synchronous Motor Servo System Implemented with Adaline
自适应神经元实现的直线永磁同步电机伺服系统的预见前馈补偿
In order to compensate control delay of active power filter (APF), a predictive current control strategy based on ADAptive LInear NEuron (ADALINE) for three-phase APF is proposed.
为有效补偿有源电力滤波器（APF）的控制延时，提出一种基于自适应线性神经元（ADALINE）的APF预测电流控制策略。
In this proposed method, the selected neural network structure is Adaline structure.
本文提出的方法中，神经网络结构采用Adaline结构。
At last realizes the neuron training by convergence rule and least mean square rule of adaline.
最后采用Adaline收敛规则和最小均方规则2种方法实现对神经元的训练。
To adapt the parameter variability of this system, we adopt Adaline to implement preview feedforward compensation.
为了能适应系统参数的变化，采用自适应神经元来实现预见前馈补偿。
Recursive least square algorithm was used to enhanced Adaline neural network, that could improve the convergence speed.
将递归最小二乘法用于增强型Adaline神经网络模型，提高了收敛速度。
But in some cases, the convergent property of the algorithm is not satisfactory. A new ANN algorithm for analyzing harmonics in power system based on ADALINE model and Oja's learning rule is described.
在ADALINE模型的基础上，提出了一种新的、适用于电力系统谐波分析的ANN算法，该算法的训练过程采用了Oja学习规则，较好地保证了算法的收敛性。
On the base of theoretical analysis and experiments, three parameters of PID control algorithm are introduced to define the original weights, the studying time of Adaline network system is decreased, and dynamic characteristic of the controlled system is improved.
在理论分析和实验的基础上，引进PID控制算法的三个参数值来确定权值的初始值，减小了Adaline网络系统的学习时间，提高了被控系统的动态特性。
This control strategy, consisting of two Adaline networks as controller and identifier respectively, is an open-loop tracking control strategy, which has been proved simple, robust and accurate.
该控制策略是一种由两个分别作为控制器和辨识器的Adaline网络构成的开环跟踪控制策略，证明是简单、鲁棒和精确的。