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各种kalman滤波器的设计，pwm整流器的建模仿真，包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合，虚拟力的无线传感网络覆盖，包括广义互相关函数GCC时延估计。-Various kalman filter design, Modeling and simulation pwm rectifier Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S
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用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved
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用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved
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GRNN的数据预测-基于广义回归神经网络货运量预测(Prediction of GRNN data based on generalized regression neural network for freight volume prediction)
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用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果(Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved)
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用广义回归神经网络预测时间序列数据的MATLAB源代码(MATLAB source code for predicting time series data using generalized regression neural network)
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Matlab to achieve user-friendly, gmcalab fast generalized form component analysis, The entire training process BP neural network.
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On neural network control, Including the generalized cross-correlation function GCC time delay estimation, Modulated signals to calculate its density Pu-related.
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基于广义线性回归神经网络的预测，计算出相应的误差。(Based on the prediction of generalized linear regression neural network, the corresponding error is calculated.)
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gmcalab fast generalized form component analysis, The entire training process BP neural network, Using matlab written narrowband noise occurs.
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基于广义回归神经网络（GRNN）的货运量预测(Prediction of freight volume based on generalized regression neural network (GRNN))
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粒子群算法优化广义回归神经网络的代码，具有很好的借鉴意义。(Particle swarm optimization (PSO) algorithm optimizes the code of generalized regression neural network, which has a good reference value.)
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极限学习机（Extreme Learning Machine, ELM）用来训练单隐藏层前馈神经网络（SLFN）与传统的SLFN训练算法不同，极限学习机随机选取输入层权重和隐藏层偏置，输出层权重通过激活函数函数，依据Moore-Penrose（MP）广义逆矩阵理论计算解析求出。(Extreme learning machine (ELM) is used to train single hidden layer feedforward neural network (SLFN). Differe
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