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Weighted Squares Least Estimation
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是一种双隐层反向传播神经网络，采用偏最小二乘法，计算加权加速度。- Is a two hidden layer back propagation neural network, Partial least squares method, Weighted acceleration.
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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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RLS 递归最小二乘滤波器算法！！！！！！！！！！！！！！！！！！！！！(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in
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Using weighted model nodes in the network strength and weight are power law distribution, For beginners with a reference value, Least-squares regression analysis algorithm.
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Calculate the maximum eigenvalue judgment matrix of AHP, Weighted acceleration, Multivariate least squares fitting method of nonlinear equations.
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Multivariate least squares fitting method of nonlinear equations, Using weighted model nodes in the network strength and weight are power law distribution, Virtual power wireless sensor network coverage.
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Prediction Error Method for Parameter Identification - the idea of relaxation, Least-squares algorithm to fit a three-dimensional plane, Weighted acceleration.
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递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
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