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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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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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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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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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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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An expert system based on S-transform and neural network for automatic classification of power quality disturbances
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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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采用粒子群算法PSO优化BP神经网络，进行风电功率预测，含实际数据和案例-Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case
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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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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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是信号处理的基础，基于人工神经网络的常用数字信号调制，虚拟力的无线传感网络覆盖，迭代自组织数据分析，用于信号特征提取、信号消噪，D-S证据理论数据融合。- Is the basis of the signal processing, The commonly used digital signal modulation based on artificial neural network, Virtual power wireless sensor network coverage, Itera
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主要是基于mtlab的程序，基于人工神经网络的常用数字信号调制，用于信号特征提取、信号消噪，毕业设计有用，有借鉴意义哦，含噪脉冲信号进行相关检测,采用加权网络中节点强度和权重都是幂率分布的模型。- Mainly based on the mtlab procedures, The commonly used digital signal modulation based on artificial neural network, For feature extraction, signal de
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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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This paper presents neural networks based approach
for estimation of the control and operating parameters of Statcom
used for improving voltage profile in a power system, which is
emerging as a major problem in the day-to-day operation of
stresse
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Jacobi iteration for solving linear equations class-based, The entire training process BP neural network, Virtual power wireless sensor network coverage.
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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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对电力系统的负荷进行预测用BP神经网络实现(BP neural network for forecasting power system load)
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BP神经网络做功率预测，建议有一定matlab基础有5000行数据(BP neural network for power prediction, it is recommended to have a certain matlab basis with 5000 lines of data)
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