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提出了基于争议度修改权值的算法 ERstd-AdaBoost，提出了逆向权值分布策略的改
进算法 IB+。-Modify the weights based on the controversial degrees algorithms ERstd-AdaBoost, the the reverse weight distribution strategy improvement algorithm IB+.
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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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- BP neural network trained by PSO algorithm
- Random weight method PSO
- Adaptive weights PSO
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Introducing the rank-weight method into the
basic ant colony optimization (ACO), we use the modified
ACO to optimize the weights and thresholds value of neural
networks (NN). And when the BPNN is being trained, this
method can solve the disad
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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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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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