gkc

  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.)

gkc.m,10645,2016-04-14