telecommunication traffic recording; fractals; principal component analysis; pattern clustering; neural nets; learning (artificial intelligence); pattern classification; statistical analysis; network traffic classification; principal component analysis; K-means clustering; probabilistic neural network; locally optimal spread parameter; neural network training; percentage correct classification accuracy; traffic recording; optimized PNN; self-affine network traffic; boundedness; compression ratio; variance fractal dimension trajectory; multifractal signature; statistical histogram modelling;
机译:通信网络的交通建模:基于少数参数的多重方法
机译:基于多重分形探索的3G移动网络流量预测
机译:高速计算机网络中自相似流量的快速多重分形模型
机译:网络流量分类的多重术表征
机译:用于网络流量分类的多重分形表征。
机译:机器人通信:基于深神经网络的网络流量分类
机译:网络流量分类的多重术表征
机译:杰克逊排队网络中泊松流量流的刻画。