bp神经元网络，对加入随机噪声样本进行的实验-bp neural network, by adding random noise to the experimental samples

复杂网络中有如随机图，WS小世界网络，NW小世界网络及BA无标度网络等一些常见的基本模型，，本程序从这些网络的产生机理，生成了这些复杂网络模型，并且分析了其基本性质如平均路径长度，聚类系数及度分布等。-Complex networks like the random graph, WS small world network, NW small-world network and BA scale-free network and some common basic model of the p

在二维空间构建一个随机网络，在网络图的基础上生成一个树-Construct a random network in two-dimensional space, to generate a tree diagram on the basis of the network

通过随机部署信标节点来定位目标，当距离最近三个信标节点之间相互连接时，出现在信标节点组成的网格内，可以定位目标对象(The target object is located by the random deployment of beacon nodes. When the nearest three beacon nodes are connected to each other, the target object can be located in the grid of the beac