HYBRID NEURAL NETWORK AND FUZZY LOGIC METHODS FOR IMPLEMENTATION OF EQUIPMENT ACTUAL STATE ASSESSMENT OF POWER STATIONS AND SUBSTATIONS

著录项

• 来源
  《Proceedings of the 34th IASTED International Conference on Modelling, Identification and Control》|2015年|167-171|共5页
• 会议地点 Innsbruck(AT)
• 作者

  Alexandra I. Khalyasmaa; Stepan A. Dmitriev; Andrey A. Verxozin; Sergei F. Sarapulov;

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• 作者单位

  Ural Federal University named after the first President of Russia B.N. Yeltsin 620002 Ekaterinburg, 19, Mira street / Russia;

  Ural Federal University named after the first President of Russia B.N. Yeltsin 620002 Ekaterinburg, 19, Mira street / Russia;

  Ural Federal University named after the first President of Russia B.N. Yeltsin 620002 Ekaterinburg, 19, Mira street / Russia;

  Ural Federal University named after the first President of Russia B.N. Yeltsin 620002 Ekaterinburg, 19, Mira street / Russia;

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• 会议组织
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Assessment of power equipment actual state; Takagi-Sugeno algorithm; Bellman-Zadeh scheme; training sample; statistical data;

  机译：评估电力设备的实际状态； Takagi-Sugeno算法； Bellman-Zadeh计划；训练样本；统计数据;