Description: 基于卡尔曼滤波器的神经网络优化，有蛮好的效果-Kalman filter based on neural network optimization, has the effect of fine Platform: |
Size: 16384 |
Author:李艳芳 |
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Description: 开源飞控程序，使用了神经网络pid控制，基于四元数的卡尔曼滤波，带地面站-open source flight control program use neural network pid control, based on quaternion based kalman filter. togather with the groudstation Platform: |
Size: 10779648 |
Author:yuyun |
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Description: 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 respectively conducted wind electric power real-time forecast and before prediction, and using the entropy take the right method to determine a combination of the right weight, the introduction of self-control mechanism, to build feedback, proposed combination forecasting method and based on the time sequence Kalman filtering method. The research results show that the combination forecasting model can reduce the prediction point error appears, the Kalman filter can significantly abatement fluctuations of the original sequence. Platform: |
Size: 1047552 |
Author:刘行 |
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Description: 著名的卡尔曼滤波器，植根于状态空间线性动力学系统，对线性递归最优滤波问题提出了一个叠代的解决方法。它不仅适用于平稳的环境，而且还适用于非平稳的环境。其估算结果是通过前一次的估计值与新的信息来计算更新的状态值；所以只有先前的估计值需要存储空间。卡尔曼滤波器采用了更高效的线性估计,比过去需要通过计算整个过滤过程中的每一个步骤更有效率。-The well-known Kalman filter, rooted in the state-space linear dynamical systems, an iterative solution of linear recursive optimal filtering problem. It applies not only to the stable environment, but also for non-stationary environment. The estimation result is calculated by the previous estimated value with the new information to update the state value require storage space, so that only the previously estimated values. The Kalman filter uses a more efficient linear estimation, than in the past need to be calculated in the entire filtration process every step more efficient. Platform: |
Size: 67584 |
Author:万达 |
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Description: 利用kalman滤波进行股票预测，并与灰色预测，及神经网络算法的预测结果进行比较。-Use kalman filter for stock forecasting, and with gray prediction, and neural network algorithm to predict the results were compared. Platform: |
Size: 13312 |
Author:尹珂 |
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Description: 自己写的改进的BP神经网络辅助组合导航卡尔曼滤波，运行成功，可供参考。-Write their own improved BP neural network aided integrated navigation kalman filter, run successfully, for reference. Platform: |
Size: 3565568 |
Author:fcd |
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