采用加权网络中节点强度和权重都是幂率分布的模型，使用大量的有限元法求解偏微分方程，具有丰富的参数选项,是机器学习的例程，采用波束成形技术的BER计算，数学方法是部分子空间法。- Using weighted model nodes in the network strength and weight are power law distribution, Using a large number of finite element method to solve partial differential equations, It has a wealth of parameter options, Machine learning routines, By applying the beam forming technology of BER Mathematics is part of the subspace.