计算机技术与发展Issue(7)：21-24,4.DOI:10.3969/j.issn.1673-629X.2014.07.006
基于样条权函数神经网络P2P流量识别方法
P2 P Traffic Identification Based on Spline Weight Function Neural Network
摘要
Abstract
Spline weight function neural network is a new kind of neural network. It overcomes many defects of traditional neural networks ( like BP,RBF) ,such as local minima,slow convergence,at the same time has many advantages,such as simple structure,remembering trained samples,reflecting the characteristics of the sample information,finding global minima directly and so on. A method of P2P traffic identification based on spline weight function neural network is presented in this paper based on advantages of this neural network. The structure of spline weight function neural network can identify P2P traffic by extracting characteristics of P2P traffic training. Matlab sim-ulation and experimental results show the feasibility of the scheme. Compared with the traditional neural network,spline weight function neural network has obvious advantages in time efficiency.关键词
样条权函数/神经网络/P2P/流量识别/插值Key words
spline weight function/neural network/P2P/traffic identification/interpolation分类
信息技术与安全科学引用本文复制引用
侯善江,张代远..基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,(7):21-24,4.基金项目
江苏高校优势学科建设工程资助项目(yx002001) （yx002001）
