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建立径向基人工神经网络，并与卡尔曼过滤器结合-Establishment of radial basis neural network, combined with the Kalman filter
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neural network trained with unscented kalman filter
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neural network trained with extended kalman filter
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Neural Network training using the Unscented Kalman Filter
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神经网络+Kalman滤波，很好的测试程序，好好学习-Neural network unscented Kalman filter
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卡尔曼滤波RBF神经网络和PD复合控制RBF neural network and Kalman filter composite control PD-RBF neural network and Kalman filter composite control PD
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一些关于卡尔曼滤波与神经网络的方面的英文书籍-Some of Kalman filtering and neural networks in the English books
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用神经网络辅助联邦卡尔曼滤波器进行组合导航的MATLAB仿真。-MATLAB simulation of neural network assisted federal Kalman filter integrated navigation.
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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
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adamtpive neural network kalman filter eassyy for beginners.
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nnekf---Neural Network training using the Extended Kalman Filter
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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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C codes and simulation examples for the ANFIS by Jang (Absolutely original version )-This attached file contains C code and simulation examples for the ANFIS (Adaptive-Network-based Fuzzy Inference System) architecture proposed in [1,2].
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基于卡尔曼滤波训练的神经网络(扩展卡尔曼滤波)-Based on Kalman Filter trained neural network (nnekf)
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Neural Network training using the Unscented Kalman Filter (nnukf)
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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.
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Neural network training with Extended Kalman filter for nonlinear dynamic systems
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各种kalman滤波器的设计，应用小区域方差对比，程序简单，关于神经网络控制，合成孔径雷达（SAR)目标成像仿真，最小均方误差（MMSE）的算法，IDW距离反比加权方法。-Various kalman filter design, Application of small area variance comparison, simple procedures, On neural network control, Synthetic Aperture Radar (SAR) imaging si
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仿真效果非常好，相关分析过程的matlab方法，各种kalman滤波器的设计，是一种双隐层反向传播神经网络，matlab开发工具箱中的支持向量机，鲁棒性好，性能优越。-Simulation of the effect is very good, Correlation analysis process matlab method, Various kalman filter design, Is a two hidden layer back propagation neural network
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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.
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