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gkc

于 2016-04-14 发布 文件大小:6KB
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代码说明:

  包括最小二乘法、SVM、神经网络、1_k近邻法,包括调制,解调,信噪比计算,最小均方误差(MMSE)的算法,一种流形学习算法(很好用),D-S证据理论数据融合,单径或多径瑞利衰落信道仿真,利用贝叶斯原理估计混合logit模型的参数。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Includes the modulation, demodulation, signal to noise ratio calculation, Minimum mean square error (MMSE) algorithm, A fluid manifold learning algorithm (good use), D-S evidence theory data fusion, Single path or multipath Rayleigh fading channel simulation, Bayesian parameter estimation principle mixed logit model.)

文件列表:

gkc.m,10645,2016-04-14

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