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基于模糊神经网络的自适应预失真功放。DPD功放模型的研究。-Based on fuzzy neural network adaptive predistortion power amplifier. DPD amplifier modeling.
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本文首先介绍了有源电力滤波器的基本结构和工作原理，并对一些常规的谐波电流检测方法的优缺点进行了比较。其次，针对传统的谐波电流检测方法的缺陷，提出将神经网络与基于噪声抵消原理的自适应谐波检测相结合，利用径向基函数运算量小、收敛快、无局部极小值等优点，构造了一种基于径向基函数神经网络的谐波电流检测方法，仿真结果表明该检测方法具有很好的动态响应及畸变电流检测精度。最后，设计了一套实验系统，对本文所采用的系统方案进行了实验验证。仿真表明，本文所采用的有源电力滤波器检测系统方案切实可行，能够较好地实现动态
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These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected
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基于模糊神经网络的自适应预失真功放。DPD功放模型的研究。-Based on fuzzy neural network adaptive predistortion power amplifier. DPD amplifier modeling.
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析了变速恒频双馈风力发电系统的工作原理。结合风力机特性和双馈发电机特性，说明了变速恒频运行方式下的最优风能捕获策略，并介绍了风力发电系统的滑模变结构控制、自适应控制、鲁棒控制和人工神经网络控制。总结了变速恒频风力发电系统的发展趋势。-Analysis of a Variable Speed Constant Frequency Wind Power Generation System works. Combination of wind turbine characteristics and t
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文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。-This paper presents a new approach to short-term load forecasting in power systems. The
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摘要：为了减少先验知识对统一潮流控制器中模糊规则的设计和电力系统参数的变化对统一潮流控制器性能的影响， 文中采用模糊神经网络来设计统一潮流控制器-Abstract: In order to reduce a priori knowledge of the unified power flow controller in the fuzzy rules in the design and power system parameters on the unified power flow contr
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利用新陈代谢灰色预测、样本自适应BP 神经网络和时间序列分析分别进行风电功率实时预测和日前预测，并采用熵值取权法确定组合权重，引入自控机制，构建反馈，提出组合预测法和基于时间序列的卡尔曼滤波法。研究结果表明，组合预测模型能减少各预测点较大误差的出现，而卡尔曼滤波能大幅消减原始序列的波动影响。-Use of metabolic gray forecast, sample adaptive BP neural network and time sequence analysis respective
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Improvement in the performance of neural
network-based power transmission line
fault classifiers
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在MATLAB环境下，利用BP神经网络对电力负荷进行预测，编写了代码，并附上了仿真图。-In the MATLAB environment, the use of BP neural network to forecast the power load, writing the code, and attach the simulation diagram
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This paper proposes a new MPPT controller. The proposed
MPPT controller is based on genetic algorithm (GA) optimized
artificial neural network (ANN). For the simulation purpose an
improved model of SPV is used. The MPPT is simulated and
studi
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基于BP神经网络对联合循环发电厂每小时满负荷电功率进行建模。-BP neural network based on a combined cycle power plant of electric power per hour at full load modeling.
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AN ANN BASED APPROACH FOR
OPTIMAL PLACEMENT OF
DSTATCOM FOR VOLTAGE SAG
MITIGATION-Voltage sag has been considered as one of the most harmful power quality problem as it may significantly
affect industrial production. This paper presents
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采用BP神经网络的方法预测风力机发电功率-Adopt the method of BP neural network to predict wind turbine power
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包括最小二乘法、SVM、神经网络、1_k近邻法,采用加权网络中节点强度和权重都是幂率分布的模型，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Using weighted model nodes in the network strength and weight are power law distribu
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基于人工神经网络的常用数字信号调制，Matlab实现界面友好，虚拟力的无线传感网络覆盖。- The commonly used digital signal modulation based on artificial neural network, Matlab to achieve user-friendly, Virtual power wireless sensor network coverage.
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采用加权网络中节点强度和权重都是幂率分布的模型，是一种双隐层反向传播神经网络，汽车课设货车Matlab驱动力图程序。- Using weighted model nodes in the network strength and weight are power law distribution, Is a two hidden layer back propagation neural network, Car class-based truck driver trying to Matlab
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overview about A neural network
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overview about A neural network apply in science
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