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3下载：
小波神经网络电力负荷预测,有较强的学习价值和应用价值-Wavelet neural network power load forecasting, there are strong learning value and applied value
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故障诊断 基于BP神经网络的故障诊断系统 1生成BP网络2.训练和自适应调整-Fault diagnosis based on BP neural network fault diagnosis system for a generation of BP network 2. Training and adaptive adjustment
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基于Elman神经网络的预测程序，可用于电力系统短期负荷预测 -Elman neural network-based forecasting process, can be used for short-term load forecasting of power system
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关于在火电单元机组中神经网络预测控制的论文,有仿真,-On the thermal power unit in the neural network predictive control of the paper, there are simulation,
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This paper proposes a fault location method employing wavelet fuzzy neural network to use post-fault transient and steady-state measurements.
When single line to ground fault (SLG) occurs in the distribution lines of an industrial system, the trans
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径向函数神经网络的三种算法,里面是一维输入，一维输出，很容易推广到多维，拟合的效果很好-Radial basis function neural network for power system load-flow
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03~A Shunt Active Power Filter with Control Method Based on Neural Network
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Elman神经网络的数据预测—电力负荷预测模型研究 教学代码-Elman neural network data to predict- the power load forecasting model for teaching code
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神经网络的数据预测—电力负荷预测模型研究,带有数据，调 试过，可以运行，希望对大家有帮助-Neural network data prediction- the power load forecasting model with data, debugging, you can run, and I hope for all of us to help
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运用神经网络与时间序列分析对风电功率进行预测的一个matlab程序。-Using neural network and time series analysis forecast wind power
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基于人工神经网络法的风电功率预测matlab程序，可预测未来几十个小时内的风电功率。-Based on Artificial Neural Network Method wind power prediction matlab program, you can predict the future of dozens of hours of wind power.
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这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy net
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BP神经网络预测风电场功率，利用BP神经网络对风电场未来48小时内的功率进行预测-Wind power prediction for wind farm with BP neural network
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matlab 神经网络 在电力系统中的负荷预测、
智能算法-matlab neural network load forecasting in power system, intelligent algorithms
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本程序将神经网络训练的算法应用于电力系统的负荷预测，适应性强，结果准确-This program will train the neural network algorithm is applied to the power system load forecasting, adaptable, accurate
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method based on Neural
Network (NN) technique and accompanied with MMSE
(Minimum Mean Square Error), which corrects at the receiver
level, the Non-Linear (NL) distortions due to the HPA (High
Power Amplifier).-In this paper, we present a meth
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是使用BP神经网络进行风电功率超短期预测，数据为5分钟一点，预测结果为一次预测4小时15分钟一点。-Ultra- short- term Forecasting Program of Wind Power Based on BP Neural Network
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为保障安全与电力用户供电质量，基于并网逆变器的分布式发电(distributed generation DG)系统要求具备孤岛检测功能。针对被动式孤岛检测法检测盲区(non-detectionzone，NDZ)大、检测时间长以及主动式孤岛检测法影响分布式发电系统供电质量的缺点，提出了一种新的被动式孤岛检测方法。该方法利用小波变换从公共耦合点(point ofcommon coupling，PCC)处的电压信号及逆变器输出电流信号中提取特征量，再通过BP 神经网络进行模式识别来判断是否出现孤岛现象
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以某光伏电站实测数据为比较对象用拟牛顿法小波神经网络建立光伏发电系统短期功率预测模型。-Based on the measured data of a PV power plant, the short- term power prediction model of photovoltaic power generation system is established by using quasi- Newton method wavelet neural network.
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Application of benders cut in power flow problem solving in electrical networks.
Neural network for application with wind series
Ant colony in the electrical circuit solution
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