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  • This paper deals with the application of data having the character of fuzzy numbers, on the input of the feed-forward type of artificial neural network. An interval arithmetic is used for some operations, e.g. for summation of weighted components of input vectors. Necessary configuration and the learning of the net is discussed.
  • This paper deals with the application of data having the character of fuzzy numbers, on the input of the feed-forward type of artificial neural network. An interval arithmetic is used for some operations, e.g. for summation of weighted components of input vectors. Necessary configuration and the learning of the net is discussed. (en)
Title
  • INFLUENCE OF FUZZY DATA ON THE NEURAL NETWORK
  • INFLUENCE OF FUZZY DATA ON THE NEURAL NETWORK (en)
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  • INFLUENCE OF FUZZY DATA ON THE NEURAL NETWORK
  • INFLUENCE OF FUZZY DATA ON THE NEURAL NETWORK (en)
skos:notation
  • RIV/63468352:_____/03:#0000088!RIV10-MSM-63468352
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  • 610282
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  • RIV/63468352:_____/03:#0000088
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  • fuzzy data, neural networks, multilayer perceptron ( MLP), interval arithmetic, learning of the network. (en)
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  • [E23C1E6155D9]
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  • Kunovice
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  • Kunovice
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  • Proceedings International Conference on Soft Copmputing Applied in Computer and Economic Environments
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  • Petrucha, Jindřich
  • Mikula, Vladimír
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number of pages
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  • Evropský polytechnický isntitut, s.r.o.
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  • 80-7314-017-9
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