Evaluating Users' Satisfaction in Packet Networks Using Random Neural Networks
type: Dataset
description: International audience
landing page: Artificial Neural Networks - ICANN 2006
keyword: artificial-neural-networks
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-lgcomputer-science-csmachine-learning-cslg
keyword: infoinfo-necomputer-science-csneural-and-evolutionary-computing-csne
keyword: infoinfo-nicomputer-science-csnetworking-and-internet-architecture-csni
keyword: multimedia-quality-assesment
keyword: psqa
keyword: random-neural-networks
issued: 2026-05-11T13:13:55.338388
modified: 2026-05-11T13:13:55.338395
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Evaluating Users' Satisfaction in Packet Networks Using Random Neural Networks
type: Distribution
format: HTML
access URL: https://hal.science/hal-00812034
issued: 2026-05-11T13:13:55.380223
modified: 2026-05-11T13:13:55.318527