Name
Abstract | ||
|---|---|---|
By applying tomography theory which is highly developed in fieldssuchas medical computerized tomography and seismic tomography to communication network, network tomography has become one of the focused new technologies, which can infer the internal performance of the network by external end-to-end measurement. In this paper, we propose a novel Inference algorithm based on the recurrent multilayer perceptron (RMLP) network capable of tracking nonstationary network behavior and estimating time-varying, internal delay characteristics. Simulation experiments demonstrate the performance of the RMLP network. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11760191_28 | ISNN (2) |
Keywords | Field | DocType |
internal delay characteristic,tomography theory,network tomography,fieldssuchas medical computerized tomography,rmlp network,external end-to-end measurement,nonstationary data network,nonstationary network behavior,recurrent neural network inference,seismic tomography,internal performance,communication network,multilayer perceptron,simulation experiment,recurrent neural network | Telecommunications network,Computer science,Inference,Infinite impulse response,Recurrent neural network,Time delay neural network,Network tomography,Multilayer perceptron,Artificial intelligence,Artificial neural network | Conference |
Volume | ISSN | ISBN |
3973 | 0302-9743 | 3-540-34482-9 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Qian | 1 | 5 | 4.91 |
| Guang-min Hu | 2 | 87 | 19.78 |
| Xingmiao Yao | 3 | 9 | 1.26 |
| Lemin Li | 4 | 557 | 62.71 |